Data Analysis Projects on Upwork Efficiently

I’m working on a Google Sheets project that has outgrown basic formulas and now needs a deeper, more professional touch. The core of the job is to turn raw information—coming in regularly as CSV or Excel files—into clear, reliable insights directly inside Sheets.

Here’s what I need:

• Smooth import and export routines for those CSV/Excel files so I can refresh data without breaking references.
• Thoughtful data modelling that makes later analysis painless.
• Dynamic charts, pivot tables, and other visualisations that update the moment fresh data lands.

If you prefer using built-in connectors, the IMPORT functions, or even App Script for the file intake, I’m open, as long as the result is dependable and easy for me to maintain. Once the core workflow is in place, I’d like a concise walkthrough (video or short doc) so I can extend or tweak the work myself later.

Acceptance criteria
– One shared Google Sheet linked to a sample CSV/Excel upload, refreshing successfully on demand.
– At least three interactive visual elements (chart, pivot, or slicer) reflecting the imported data accurately.
– No broken formulas or manual copy-pasting required after hand-over.

If this sounds straightforward to you and you’ve built similar analytical dashboards in Google Sheets before, let’s talk timing and next steps.

Skills: Excel, Statistics, Statistical Analysis, SPSS Statistics, Data Visualization, Data Analysis, Google Sheets, Data Modeling

We are hiring Power BI Developer for 5 Months contract

Title- Power BI Developer
Experience - 4-7 years
Location: Remote
Contract Duration- 5 Months

Job Description:
We are seeking a highly skilled Power BI Developer to design, develop, and maintain advanced business intelligence solutions. The candidate will be responsible for transforming data into actionable insights, building scalable data models, and delivering interactive dashboards to support strategic decision-making.

Required Skills & Qualifications
• 4–7 years of experience in Business Intelligence / Data Analytics
• Strong expertise in Power BI (Desktop & Service)
• Tableau to PBI migration experience
• Advanced knowledge of:
--DAX (Data Analysis Expressions)
--Power Query (M)
• Proficiency in SQL (query tuning, complex joins, stored procedures)
• Experience with data warehousing concepts (Star/Snowflake schemas)
• Hands-on experience with Azure (ADF, Synapse, Data Lake) – preferred
• Understanding of data governance and security principles
• Strong analytical and problem-solving skills


Suitable and interested candidates, Please apply with your resume.

• Are you an independent freelancer/ agency/ team?
• How many years of exp do you have in Power BI ?
• How many years of exp do you have in DAX & Power Query ?
• How many years of exp do you have in Tableau to Power BI migration ?
• How many years of exp do you have in SQL (complex queries, joins) ?

Type: Contract · Remote · Part-time to full-time
Focus: E-commerce product research · Google search demand · German (DACH) market


About us

We run a portfolio of e-commerce webshops powered by Google Ads. Each store carries thousands of products, and we list new ones continuously. Our edge is speed and selection: we find products people are already searching for on Google, list them fast, and let demand do the rest. We sell primarily into the German market (DACH region), so a deep, instinctive feel for what German consumers want — and what they'll want next — is the heart of this role.

The role

We're looking for an experienced Product Researcher who can consistently spot products that will trend in the coming months before they peak, validate that real Google search demand exists behind them, and filter out the products that look great but won't hold up — poor quality, unrealistic margins, or "too good to be true" offers that lead to returns, chargebacks, and bad reviews.

This is a research-and-judgment role, not data entry. Your picks need to reliably convert into search traffic and profitable sales — not just look good in a trends chart.

What you'll do


Research and identify products with rising or established Google search demand in the German/DACH market.
Forecast upcoming trends and seasonal demand 1–6 months ahead, and flag products before they saturate.
Screen out weak picks: spot quality red flags, unrealistic pricing, saturated/scammy products, and items likely to generate returns or disputes.
Validate demand using Google Keyword Planner, Google Trends, and search-volume / keyword tools.
Deliver a weekly shortlist of vetted, high-conviction products with search volume, seasonality, competition, and a short rationale per product.
Track competitors and marketplaces (Amazon.de, Otto, Kaufland, eBay.de) and German social/shopping trends.
Work closely with our Google Ads and listing teams so winning products get to market fast.


How we think about volume

We'd rather have a smaller list of genuinely vetted winners than a long list of noise. If you can also surface a wider stream of "fast signal" candidates on top of your high-conviction picks, great — but the deeply researched shortlist is what we judge you on. We'll align on realistic weekly targets together.

What you bring


Proven track record in e-commerce product research, trend spotting, or dropshipping/retail sourcing — with results you can point to.
Strong feel for the German/DACH market: consumer behaviour, seasonality, and language nuance. Native or fluent German strongly preferred; if you're not a German speaker, show us how you compensate for that.
Hands-on skill with Google Keyword Planner, Google Trends, and search-volume tools; comfortable reading keyword and demand data.
Judgment on quality and risk — you can tell the difference between a fad, a trend, and an evergreen, and you know which "winners" to walk away from.
Self-directed, data-driven, and comfortable in a fast-moving remote team.


Nice to have


Experience with Google Ads / Shopping campaigns.
Familiarity with Shopify or similar platforms.
Knowledge of German marketplace ecosystems and import/sourcing channels.


Compensation

We're flexible and pay for results. As a guide, we're budgeting roughly [€/$X–Y per hour] depending on experience, with room to grow for someone whose picks consistently perform. Tell us your expectation.

How to apply

Send us:


A short note on your product-research experience and the German market.
3 products you believe will trend in DACH over the next 3 months — with the Google search data that backs each pick.
1 product that looks like a winner but that you would deliberately avoid — and why.
Your availability and rate expectation.


The product test (points 2 and 3) is the part we read first. Show us how you think — both what you'd chase and what you'd reject.

I’m preparing a small, respectful fan meet-up while a well-known Taiwanese celebrity is in Kuala Lumpur and I need the name of the hotel where they are currently checked in. I have no solid leads, so the assignment starts with a blank slate and calls for a full, boots-on-the-ground or online investigation that stays completely within Malaysian law and hotel privacy rules.

What I expect from you
• A single, confirmed hotel name backed by a credible source I can independently verify (e.g., timestamped social-media geo-tag, local press mention, eyewitness photo, or direct staff confirmation).
• A short explanation of how the information was obtained so I can judge reliability without exposing any sensitive methods you prefer to keep private.
• Delivery in real time or within the agreed deadline, as timing is crucial for arranging the meet-up.

Acceptance criteria
• The source must allow me to confirm authenticity without additional detective work.
• No invasive tactics, harassment, or privacy breaches—only ethical OSINT, local networking, or legally obtained insider tips.
• If the hotel name cannot be verified, the work is not considered complete.

Please let me know the tools or local connections you plan to leverage and the estimated turnaround so I can coordinate schedules on my side.

Skills: Research, Legal Research, Web Search, Internet Research, Data Analysis, Data Collection, Investigation, OSINT

I have a raw dataset that needs to be taken from its current, slightly messy state all the way through to clear, publication-ready results. I’m looking for someone who lives and breathes SPSS—importing data, recoding variables, running the right tests, checking assumptions, and finally turning those numbers into readable tables, charts, and plain-language interpretations.

At this stage I’m flexible about the exact statistical techniques; once you see the data we can decide whether descriptive summaries are enough or if we should move on to hypothesis testing, regressions, or other inferential approaches. What matters is that the final output is accurate, replicable through annotated syntax, and easy for a non-statistician to follow.

Deliverables I expect:
• A cleaned, fully labeled .sav file
• An SPSS syntax file showing every step you took
• The SPSS output (.spv)
• A short written summary that explains the key findings in straightforward language, supported by the relevant tables or charts

Please let me know your availability, a brief outline of how you would approach the task, and any similar projects you’ve completed. Looking forward to working together.

Skills: Data Processing, Statistics, Statistical Analysis, SPSS Statistics, Data Visualization, Data Analysis, Statistical Modeling, Regression Analysis

Job Overview: B2B Sales / Appointment Setter (100% Remote)
We are a Hong Kong-based technology company specializing in cutting-edge AI engine solutions and AI-powered consumer services. As our clients span across international markets, we are building a high-performance, fully remote global team to accelerate our international business growth.
Job Type: Full Time
Wage / Salary: 1,500USD + performance incentive
Hours: Monday–Friday (flexible, aligned to HK/global client time zones)
Location: 100% Remote (Open to global applicants capable of working in English)

Current Job Responsibilities
Example: Managed outbound B2B sales campaigns targeting international clients.
Example: Conducted data analysis on email open/reply rates to optimize funnel performance.

Key Responsibilities
Conduct outbound prospecting via email, LinkedIn, and video calls to international B2B clients.
Qualify leads and schedule high-value discovery calls / demos for senior stakeholders.
Manage the full sales cycle from first contact through to close.
Maintain accurate pipeline records in CRM (HubSpot or equivalent).
Track and analyze your own performance data weekly (outreach volume, reply rate, conversion rate, win rate) and adjust your approach based on what the numbers show.
Identify funnel bottlenecks using data, form clear hypotheses, and run experiments to improve them.
Research target accounts, market trends, and competitor activity.
Support marketing campaigns and business development initiatives.

Our Core Philosophy: Quantitative Before Qualitative
At our company, every business problem is first analyzed with numbers.
❌ "I feel the campaign isn't working well." — this is NOT analysis.
⭕ "Reply rate dropped from 4.2% to 1.8% week-over-week, likely caused by the subject line change on Tuesday." — this IS analysis.
If you cannot define problems with data, you cannot solve them. We need someone who naturally reaches for numbers when something feels off, and who has actually done this in previous roles.

Requirements — Must Have
Full Professional Proficiency in English: Must be fluent in both written and spoken English, with the ability to conduct all business operations, client communications, and internal reporting smoothly in English. (You will be assessed during the interview).
Location: 100% Remote (Open to international candidates; not restricted to the Philippines, provided you can align with global client time zones).
Graduate of a recognized university (you MUST include your university and degree in your application).
Proven, hands-on experience analyzing sales or marketing performance using quantitative metrics — you have personally tracked KPIs, diagnosed problems through numbers, and acted on those insights in a real work setting.
Comfort with spreadsheets (Excel / Google Sheets), funnel metrics (conversion rates, drop-off rates), and basic statistical thinking (averages, ratios, trends).
Proven ability to work independently with minimal supervision.
Strong reporting habits — you proactively flag issues before they become problems.
Nice to Have (Strong Advantage)
Experience in BPO, multinational corporations, or foreign-client-facing roles.
Outbound sales track record (cold email / LinkedIn outreach / calling) with measurable results you can quote.
CRM experience (HubSpot, Salesforce, or similar) — including building reports or dashboards.
Closing experience with quotable numbers (e.g., "achieved 120% of quota in Q3").
Exposure to tech, SaaS, or AI-related industries.

Please Do NOT Apply If:
You analyze problems primarily through "feelings" or "general impressions" rather than numbers.
You have never personally tracked your own KPIs or pulled data to diagnose a sales/marketing problem.
You expect your manager to identify problems for you — we need someone who finds them first, with data.
You cannot provide proof of your university degree when requested.
Your English communication is primarily written-only with limited spoken fluency.
You require constant supervision to complete tasks.

How to Apply
Applications that do not follow these instructions will not be reviewed. Please send your application to the designated email with the subject line exactly as written:
"AI Sales – [Your Full Name] – [Your University]"
Your application MUST include all of the following:
Your resume / CV (PDF format)
A 2–3 minute Loom video introduction link (see instructions below)
Answers to ALL FOUR screening questions below (in the body of your email)
📹 Loom Video Instructions
Record a short 2–3 minute video at loom.com where you:
Introduce yourself in English (name, university, degree, current job responsibilities, years of experience).
Describe one specific situation where you used data or numbers to identify a problem at work — what were the numbers, what did you conclude, and what did you do? (vague answers will be rejected).
Tell us: What does "working independently" mean to you in practice?
📝 Screening Questions (Answer all 4 in English in your email)
Q1: Which university did you graduate from, and what was your degree?
Q2: Describe a time you had to reach a decision or solve a problem at work without clear instructions from your manager. What did you do, and what was the result?
Q3: Have you used a CRM tool before? If yes, which one, and how did you use it specifically in your sales or BD role? Please include any numbers (e.g., pipeline value managed, conversion rates tracked, deals closed).
Q4: (Quantitative Analysis Case — please answer with numbers)
Imagine you sent 500 cold emails last month and received the following results:
Open rate: 38% (industry average: 40%)
Reply rate: 1.2% (industry average: 3%)
Booked appointments: 2
Closed deals: 0
Based on these numbers alone:
(a) Where is the biggest bottleneck in the funnel, and why? Cite specific numbers in your reasoning.
(b) What two specific experiments would you run next month to improve this, and what result would tell you whether each experiment worked?

We are looking for an experienced Python developer or small development team to build a production grade AI powered financial analytics and investment intelligence platform. This is a research and recommendation system designed to provide actionable market insights through data aggregation, AI analysis, and interactive dashboards. This is not an automated trading platform.

**Core Technology Stack**

* Python
* FastAPI
* PostgreSQL
* Streamlit
* OpenAI API or equivalent LLM integration
* Third party financial and market data APIs
* Webhook integrations
* Telegram notifications
* Docker
* GitHub

**Key Features**

* Investment and market analysis engines
* Portfolio analytics and risk assessment
* AI driven recommendation system
* Watchlist and opportunity discovery
* Market trend and sector analysis
* Historical recommendation tracking
* Performance and accuracy dashboard
* Interactive web dashboard
* Automated alerts and daily summary reports

**Responsibilities**

* Design a modular and scalable architecture
* Develop backend APIs and database schema
* Build the analytics dashboard
* Integrate external data sources and AI services
* Implement logging, error handling, and monitoring
* Containerize the application with Docker
* Produce clear API and setup documentation
* Deliver clean, maintainable source code

**Required Experience**

* Strong Python and FastAPI expertise
* PostgreSQL database design and optimization
* Experience integrating AI APIs
* Experience with financial, analytics, or data driven applications
* REST API and webhook integrations
* Docker and deployment workflows
* Git version control

**Please include in your proposal:**

1. Relevant portfolio or GitHub projects.
2. Similar AI, fintech, or analytics platforms you have built.
3. Your recommended architecture for this project.
4. Estimated timeline.
5. Fixed price estimate or hourly rate.
6. Team size and your role in development.

We are looking for a long term technical partner who can deliver a high quality, scalable platform with full source code ownership and comprehensive documentation.

I’m coordinating several parallel projects and need a reliable partner who can move smoothly between customer-facing tasks and data work. On the technical side, you’ll be working inside Office 365 every day—updating shared documents, building dynamic Excel models, and drafting clear slide decks. For deeper analysis, I rely on Python and specifically the Pandas library, so you should be comfortable cleaning data, merging large CSVs, and producing concise insights or visualisations that non-technical colleagues can act on.

A big part of the role is keeping our CRM humming. I can adapt to Salesforce, HubSpot, or Zoho CRM, so if you already know one of those systems you’ll slot right in; if not, show me how quickly you learn and document new processes. Day-to-day you’ll update leads, automate follow-ups, and make sure support tickets never slip through the cracks.

Because our customer base spans three regions, strong written and spoken communication in English is essential, and any fluency in French or Hindi will be a welcome bonus when we handle multilingual queries.

Key deliverables:
• Clean and analyse raw datasets in Pandas, delivering actionable summaries or dashboards
• Create and maintain Excel/Office 365 reports that stay linked to live data sources
• Configure CRM workflows, templates, and basic automations that improve response times
• Draft friendly, professional customer-support replies and knowledge-base articles

I value clear status updates, well-commented code, and documentation I can hand to a new team member without extra explanation. If this mix of data wrangling, process optimisation, and customer interaction sounds like your comfort zone, let’s get started.

Skills: Python, Data Processing, Excel, CRM, QlikView, Office 365, Data Analysis, Pandas

LINX Design & Build is one of London's fastest-growing construction companies, specialising in:

* Home Extensions
* Loft Conversions
* Full Property Renovations
* New Build Homes
* Commercial Fit-Outs
* High-End Residential Projects

We are looking for an experienced **in-house Marketing Manager** who understands the **UK construction industry** and can drive lead generation, brand growth, and long-term marketing strategy.

This is not a generic marketing role. We need someone who understands how homeowners search for construction services and how to generate high-quality enquiries that convert into profitable projects.

---

## The Role

You will take ownership of all marketing activities across LINX Design & Build.

Your objective is simple:

**Generate high-quality leads, strengthen the LINX brand, and keep the business ahead of competitors.**

---

## Responsibilities

### Paid Advertising

Manage and optimise:

* Google Ads
* Meta Ads (Facebook & Instagram)
* LinkedIn Ads
* YouTube advertising campaigns

Responsibilities include:

* Campaign setup and optimisation
* Budget allocation
* Keyword research
* Audience targeting
* Conversion tracking
* A/B testing
* Landing page recommendations
* Monthly reporting

---

### SEO & Local SEO

Manage and improve:

* Website SEO
* Technical SEO
* On-page SEO
* Off-page SEO
* Local SEO
* Google Business Profile (GMB) optimisation

Responsibilities include:

* Improving Google rankings
* Increasing organic traffic
* Building local authority
* Managing citations
* Generating genuine customer reviews
* Competitor analysis
* Identifying new keyword opportunities

---

### AEO (Answer Engine Optimisation)

Prepare LINX for the future of search.

Responsibilities:

* Optimising content for AI search engines
* Structuring content for ChatGPT, Google AI Overviews and voice search
* FAQ development
* Schema implementation
* Featured snippet optimisation
* Improving visibility across AI-driven search platforms

---

### Branding

Manage and maintain the LINX brand.

Responsibilities:

* Brand consistency
* Visual identity management
* Marketing collateral
* Brochures and presentations
* Tender documents
* Sales materials
* Brand guidelines
* New campaign concepts

---

### Social Media Management

Plan, manage and grow:

* Instagram
* Facebook
* TikTok
* LinkedIn
* YouTube

Responsibilities:

* Content calendars
* Daily posting
* Site progress updates
* Before-and-after projects
* Educational content
* Client testimonials
* Community engagement
* Performance reporting

---

### LinkedIn Growth

Develop LINX's B2B presence.

Responsibilities:

* LinkedIn Ads
* Organic LinkedIn strategy
* Growing commercial relationships
* Reaching architects, developers and franchise businesses
* Thought leadership campaigns
* Director profile optimisation

---

### Marketing Strategy

Lead overall marketing direction.

Responsibilities:

* Develop quarterly marketing plans
* Research new trends and opportunities
* Monitor competitors
* Improve conversion rates
* Recommend new marketing channels
* Present monthly reports to directors
* Continuously improve return on investment

---

### Upwork Management

Manage LINX's Upwork presence.

Responsibilities:

* Posting jobs on Upwork
* Hiring freelancers
* Managing outsourced specialists
* Reviewing work quality
* Negotiating rates
* Building a trusted freelancer network
* Coordinating editors, designers and specialists when required

---

## Essential Requirements

* Minimum 3 years' marketing experience.
* Experience working within the **UK construction industry**.
* Proven track record generating construction leads.
* Strong understanding of homeowner buying journeys.
* Experience managing six-figure advertising budgets preferred.
* Excellent written and verbal communication skills.
* Ability to work independently and take ownership.
* Strong analytical mindset.

---

## Essential Skills

You must have experience with:

* Google Ads
* Meta Ads
* LinkedIn Ads
* SEO
* Local SEO (Google Business Profile)
* AEO
* Social Media Management
* Content Planning
* Branding
* Google Analytics
* Google Tag Manager
* Conversion Tracking
* Reporting and Data Analysis
* Upwork Recruitment

---

## Preferred Experience

Experience marketing any of the following:

* Extensions
* Loft Conversions
* Renovations
* New Builds
* Commercial Fit-Outs
* Construction Companies
* Architectural Practices
* Property Development Businesses

---

## Key Performance Indicators (KPIs)

You will be measured on:

* Qualified leads generated
* Cost per lead
* Return on ad spend (ROAS)
* Website enquiries
* Organic traffic growth
* Google ranking improvements
* Google Business Profile performance
* Social media growth and engagement
* Conversion rate improvements
* Monthly revenue influenced by marketing

---

• Describe your recent experience with similar projects
• Please list any certifications related to this project

🌍 About Us
We are a fast-scaling women's fashion e-commerce brand operating across Spain 🇪🇸, Mexico 🇲🇽, and the United States 🇺🇸. Our growth engine is built on high-performing Meta ad campaigns, and our creative team is at the core of everything we do.

We are building a strategic HR reserve — a pool of vetted, ready-to-work freelancers we can activate quickly when production demand increases or capacity gaps arise. This is not necessarily an immediate hire. We select strong profiles now so we are never caught off guard. 🛡️

💡 Any collaboration that starts here can evolve into a long-term engagement for the right person.

🚀 Mission :
We are looking for a mid-level Creative Strategist (minimum) who can own the full creative pipeline — from script writing and UGC creator management to performance analysis and testing frameworks.

⚡ This is not a junior role. You understand what makes an ad convert, you know how to read performance data, and you can translate insights into better creative briefs.

🧩 Your Role :

✍️ Creative Development
🎬 Write and develop ad scripts for video content (UGC, short-form, long-form) and static creatives
🎯 Ensure all creative assets are aligned with performance objectives, winning structures, and brand positioning
🔄 Maintain a continuous flow of high-quality creatives suitable for testing, iteration, and scaling
🤝 UGC Creator Management
📋 Onboard and brief UGC creators with clear direction, angles, and reference materials
👀 Monitor creator output for quality, brief adherence, and brand alignment
📡 Market & Trend Awareness
🔥 Stay current on industry trends, consumer behavior, and competitor activity
🌐 Adapt hooks, formats, and concepts across markets based on trends and performance data
📊 Creative Performance & Data Analysis
📈 Track and analyze creative performance (CTR, CPA, ROAS, hook rate, hold rate, etc.)
🏆 Identify winning creatives, patterns, and trends to inform future iterations
🗂️ Maintain and update performance tracking sheets and dashboards
💡 Deliver clear insights and actionable recommendations

🧪 Creative Testing & Optimization :

🔬 Build and execute creative testing plans (angles, hooks, formats, iterations)
⏱️ Ensure consistent testing velocity and proper tracking of results
📈 Identify scaling opportunities based on performance data

⚙️ Process & Workflow Management :

🛠️ Build and optimize creative SOPs and workflows
🗃️ Ensure proper organization of assets, naming conventions, and documentation

👥 Collaboration :

🤜🤛 Work closely with media buyers, editors, and the broader creative team
🔁 Provide feedback loops between performance data and creative production

🔍 What We're Looking For :

✅ Must Have
🎓 Mid-level minimum experience in creative strategy for paid social (Meta Ads)
✍️ Proven ability to write high-converting ad scripts for UGC and short-form video
📊 Strong understanding of Meta Ads performance metrics (CTR, ROAS, hook rate, hold rate)
🎥 Experience managing UGC creators from brief to delivery
🧪 Ability to build and execute structured testing frameworks
🦾 Organized, autonomous, and data-driven

🌟 Huge Plus :

🛒 E-commerce experience is strongly valued — especially DTC or fashion/activewear brands
📈 Experience scaling winning creatives across multiple markets
📉 Familiarity with creative performance dashboards and tracking tools
🌍 Experience working in a fast-paced, remote-first environment

🗣️ Languages :

🇬🇧 Strong English is required.
🇪🇸 Spanish skills are very strongly appreciated — we operate across Spain, Mexico, and the US, and our primary markets are Spanish-speaking.

🤖 AI Literacy — Required :

We are an AI-native team. You are expected to use Claude and/or ChatGPT daily — for script drafting, research, brief writing, trend analysis, and iteration.
⚡ Basic AI literacy is a minimum, not a bonus. You know how to prompt, get results, and move faster because of it.

💎 What Makes This Opportunity Unique :

🚀 You work on a brand already generating strong, consistent ad volume — not a startup figuring out its first campaigns
🌍 You'll directly shape the creative direction across 3 international markets
🔋 Standby model = flexibility, with clear potential for long-term collaboration
📈 Strong performers grow with the brand

📝 Engagement :

💼 Type : Freelance
🔋 ModelStandby pool — activated on demand
💰 RateUp to $1,100/month based on 35h/week when active
🌱 Long-term potentialYes

📬 How to Apply :

Please include :
🎯 Your experience in creative strategy for Meta Ads — be specific about results
✍️ Examples of ad scripts or UGC briefs you've written
📊 Your experience with performance tracking (metrics you track, tools you use)
🛒 Any e-commerce brand experience — especially fashion or activewear

⚠️ Please start your application with "AVENSTRAT" — applications without this keyword will not be reviewed.

Мне срочно нужно выполнить простое задание в CryptoTool 2.1 stable build. Точное условие пришлю сразу после отклика, но в целом речь идёт о базовых операциях внутри программы: открыть мой файл, применить нужные модули шифрования или анализа, получить корректный результат и кратко описать шаги.

Ожидаю:
• итоговый рабочий файл CryptoTool (или сохранённый рабочий демонстрационный файл)
• краткий отчёт с описанием выполненных шагов и полученных значений ‑ скриншоты приветствуются

Ничего сверхсложного там нет, поэтому рассчитываю получить готовый результат как можно быстрее после передачи задания.

Skills: Data Processing, Technical Writing, Report Writing, Cryptography, Documentation, Encryption, Data Visualization, Data Analysis

Senior Statistical Modeler / Market Intelligence Data Scientist
Location
Contract Type
Contract (~6 months)
About the Role
We are seeking an experienced Statistical Modeler to support the design and implementation of a large-scale market intelligence and analytics platform. The role will focus on developing robust, transparent, and defensible estimation methodologies that combine multiple data sources to generate market size, market share, competitive intelligence, and business performance insights.
This is a highly applied role requiring a blend of statistical expertise, commercial analytics experience, and practical delivery skills. The ideal candidate will be comfortable working with imperfect real-world datasets, developing estimation frameworks, quantifying uncertainty, and communicating methodology to both technical and business stakeholders.
The successful candidate will work alongside data engineering, analytics, reporting, and business teams to build a scalable market intelligence capability supporting executive decision-making.

Key Responsibilities
Market Estimation & Statistical Modeling
• Design and implement market sizing and market share estimation methodologies.
• Develop coverage-adjusted projection models using partial or sampled data sources.
• Create weighting and expansion factor methodologies to project from observed data to total market estimates.
• Design stratified estimation approaches across channel, geography, retailer, product, and category dimensions.
• Develop confidence interval methodologies and uncertainty quantification frameworks.
• Build statistically defensible approaches for combining multiple independent data sources.
Data Integration & Triangulation
• Design methodologies for multi-source triangulation across internal and external datasets.
• Develop approaches for reconciling conflicting signals from different data providers.
• Establish statistical frameworks for data quality assessment and source reliability scoring.
• Support integration of panel data, scanner data, ecommerce data, syndicated data, and operational business data.
Validation & Model Governance
• Design backtesting frameworks to evaluate model performance.
• Define model accuracy metrics and monitoring approaches.
• Conduct sensitivity testing and scenario analysis.
• Create model stability assessments and drift monitoring processes.
• Document all assumptions, methodologies, calculations, and validation approaches.
Advanced Analytics
• Develop forecasting and predictive models where appropriate.
• Apply statistical and machine learning techniques to improve estimation accuracy.
• Evaluate advanced methodologies including Bayesian modeling, hierarchical models, ensemble approaches, and time-series forecasting.
• Recommend enhancements to improve confidence and reliability over time.
Stakeholder Engagement
• Explain methodology and results to non-technical stakeholders.
• Participate in workshops and methodology reviews.
• Present findings, assumptions, and limitations clearly.
• Support executive-level discussions regarding confidence, reliability, and interpretation of results.
Required Experience
Statistical Modeling
• 7+ years of hands-on statistical modeling experience.
• Strong background in applied statistics, econometrics, biostatistics, data science, quantitative analytics, or a related discipline.
• Demonstrated experience building estimation models from incomplete or sampled datasets.
• Experience calculating and interpreting confidence intervals, variance estimates, and uncertainty measures.
Commercial Analytics Experience
Experience in one or more of the following domains:
• Retail analytics
• Consumer packaged goods (CPG)
• Market measurement
• Market research
• Healthcare analytics
• Pharmaceutical analytics
• Consumer insights
• Ecommerce analytics
• Commercial forecasting
Statistical Techniques
Strong experience with several of the following:
• Sampling methodologies
• Weighting methodologies
• Expansion factor modeling
• Ratio estimation
• Stratified estimation
• Hierarchical modeling
• Bayesian statistics
• Confidence interval estimation
• Forecasting and time-series analysis
• Regression modeling
• Multivariate analysis
• Causal inference
• Sensitivity analysis
• Simulation techniques
• Monte Carlo methods
Technical Skills
Required:
• Python
• SQL
• Statistical modeling libraries
• Data analysis and visualization tools
Preferred:
• R
• Snowflake
• Databricks
• Power BI
• Tableau

We are a small SME (KMO) based in Belgium with 7 employees. Our company works in cable connections and utility infrastructure work for Fluvius.

The Excel files we need can be quite simple compared to more complex systems you may have built before. This is just a starting point for us, and I currently do not yet have the experience or time to work with very advanced or overly complicated systems.

At the moment, we are looking for basic but well-structured Excel workbooks to help us manage our company more efficiently. These should include:

Employee data management (personal and job details)
Company vehicles (registration, drivers, maintenance, etc.)
Insurance tracking
Training and certification tracking (this is very important for us)
Possibly other basic administrative follow-up sheets as we grow
.

For now, I am simply looking for clear, simple, and practical Excel solutions that are easy to use and maintain.

At this moment, this is everything that comes to mind, but the system may be expanded later as we gain more experience with it.

We are seeking a freelancer with expertise in bibliometric analysis using WoS/Scopus, VOSviewer, and Bibliometrix. The ideal candidate will not only produce graphs but also provide academic interpretation of the findings. This role requires a strong understanding of bibliometric tools and the ability to analyze data effectively. The project involves analyzing academic publications and providing insights into their impact and relevance.

Bibliometric Analysis Research Assistant Needed
I am preparing an academic article titled “Mapping the Evolution of Management Fashions in International Academic Literature: A Bibliometric Analysis of Web of Science Core Collection Articles, 2000–2025.”
I am looking for a researcher experienced in bibliometric analysis to support the data analysis section of the study. The expected tasks include:
Developing and refining the search strategy for Web of Science Core Collection
Exporting and cleaning bibliographic data
Conducting bibliometric analyses using VOSviewer and/or R Bibliometrix/Biblioshiny
Preparing co-occurrence, co-citation, bibliographic coupling, author/institution/country collaboration, and keyword evolution analyses
Producing publication-quality figures and tables
Preparing a methodological note explaining the data collection, cleaning, and analysis procedure
The topic is management fashions, management fads, institutional diffusion, and organizational studies.
Prior experience with WoS, Scopus, VOSviewer, Bibliometrix, and academic publication standards is required.
This is a paid research assistance task. Authorship or acknowledgement can be discussed depending on the level of intellectual contribution

I’m compiling a comprehensive spreadsheet of every active immigration pathway to Canada and need reliable, detail-oriented support. The assignment is straightforward—collect factual data, verify it on official Government of Canada sources, and input it into the Google Sheet template I’ll share.

Scope
• More than 20 distinct pathways must be covered, including federal, provincial, and pilot programs.
• For each pathway, I will provide the required information that I'll need but it includes: eligibility criteria, step-by-step application process, and required documents. I’ll provide a precise field-by-field checklist to keep the structure consistent.
• Source links must point to the exact government page where the information was taken.

Accuracy is critical. I will spot-check every row; any discrepancies will need immediate correction before the work is accepted. If a pathway is discontinued or merged into another stream, note that in the sheet rather than deleting it.

Deliverables
• Completed Google Sheet with all requested fields filled for every pathway
• Working source links for each data point
• Brief changelog noting any pathways you could not confirm on official sites and why

I expect clear, timely communication and daily progress updates so we can resolve questions quickly. If you are meticulous with data entry and comfortable navigating government immigration pages, this project should be a smooth fit.

Skills: Project Management, Data Entry, Research, Excel, Research Writing, Documentation, Data Analysis, Google Sheets, Data Collection, Data Management

I need a research assistant to help with analysis and interpretation in literary studies, specifically focusing on poetry. The ideal candidate should be tech-savvy and possess the following skills:

- Background in literary analysis, particularly in poetry or in coding thematic humanities data.
- Ability to use research tools and software efficiently (ATLAS.ti, QualCode).
- Experience in interpreting texts and providing feedback.
- Organized and able to manage research tasks effectively.

Please provide any examples you have of previous work in literary studies.

Skills: Research, Report Writing, Research Writing, Qualitative Research, Academic Writing, Data Analysis, Academic Research, Data Management

I am looking for a professional Telegram bulk DM service provider for a long-term partnership.

=== What I Have ===
- 290,000 phone numbers (country code +7)
- Customer data (phone)

=== What I Need ===
1. Send 1 promotional message to each number via Telegram DM
2. Message will contain a link to my Telegram channel
3. Provide detailed delivery report (delivered / failed / not on Telegram)
4. Ongoing monthly batches

=== Requirements ===
- MUST be able to send via phone number import (NOT just scraping from groups)
- Safe sending with anti-ban protection
- Daily sending capacity: at least 500-1000 DMs per day
- Delivery rate tracking and transparency

=== Budget & Payment ===
- Small test batch first: 100-500 DMs to verify quality
- Then scale up based on results
- Price: please quote per 1,000 DMs
- Payment via: Crypto (USDT) / Wise / PayPal

=== What to Include in Your Bid ===
1. Your price per 1,000 DMs
2. Estimated delivery rate (what % of messages actually reach inbox)
3. Your setup: how many accounts, proxy quality, anti-ban strategy
4. Do you provide delivery report? (Yes/No - with sample)
5. Any past experience with Russian phone number campaigns

=== Please Note ===
- If your approach is "scrape users from groups and DM them", this is NOT what I need.
- I already have the phone number list ready. I need someone who can import and send.

Looking for a reliable long-term partner. Serious bidders only.

Skills: Data Entry, Marketing, Social Media Marketing, Digital Marketing, API, Data Analysis, Lead Generation, Database Management, Data Management, Telegram API

Key Responsibilities
Market Research & Industry Analysis
Conduct comprehensive research on the Australian IML packaging market.
Identify major dairy, yogurt, cheese, butter, and ice cream manufacturers.
Analyze packaging trends, sustainability initiatives, and sourcing practices.
Evaluate existing packaging suppliers and competitive market dynamics.
Customer & Contact Development
Develop a database of target companies and key decision-makers.
Identify Procurement Managers, Packaging Managers, Purchasing Managers, Supply Chain Managers, and Innovation Teams.
Gather relevant business intelligence and market insights.
Business Development & Outreach
Represent Pooja Plastics in the Australian market.
Conduct outreach through LinkedIn, email, phone calls, and industry networks.
Introduce Pooja Plastics' IML packaging solutions and capabilities.
Generate qualified opportunities and arrange meetings with prospective customers.
Competitive Benchmarking
Analyze local packaging suppliers and compare their offerings with Pooja Plastics.
Identify areas where Pooja Plastics can offer competitive advantages in quality, sustainability, service, or cost.

Skills: Research, Sales, Marketing, Market Research, Database Development, Business Intelligence, Data Analysis, Business Development

PLEASE READ CAREFULLY!!

This is a quite simple/small classification project task especially for new comer in upwork and i need to complete this as soon as today,

I am looking for an experienced Machine Learning engineer to assist with a sentiment analysis/classification project. The primary model used in this study is XGBoost, trained on a dataset of approximately 1,500 labeled samples for online gambling (judol) detection. The objective is not only to build and evaluate the XGBoost model but also to conduct a comprehensive comparison with several other traditional machine learning algorithms to demonstrate the strengths and performance advantages of XGBoost.
The project should include a complete end-to-end workflow, starting from data preprocessing and exploratory data analysis (EDA), followed by feature engineering and model development. The comparison should be performed using appropriate baseline models such as Logistic Regression, Naive Bayes, Random Forest, Decision Tree, SVM, or other relevant algorithms. The final results should be presented in a clear

I expect a thorough evaluation using multiple performance metrics, including but not limited to Accuracy, Precision, Recall, F1-Score, ROC-AUC, and Confusion Matrix analysis where applicable. In addition, I would like comprehensive visualizations and plots, such as class distribution analysis, feature importance, correlation analysis (if relevant), confusion matrices, ROC curves, performance comparison charts, and any other insightful visual representations that strengthen the findings.
The deliverables should include well-documented and reproducible code, a clear explanation of the methodology, detailed interpretation of results, and professional quality visualizations. Experience with machine learning research projects, classification tasks, XGBoost optimization.
Please include examples of similar machine learning or data science projects you have completed in the past when submitting your proposal.

I’m looking for a freelancer who can consistently supply fresh, fully-verified individual consumer leads for our EdTech company. My focus is on people who actually make or influence enrolment decisions, so accuracy and intent are more important than sheer volume.

Target market
• Students
• Parents

What I need from you
- A repeatable strategy (organic or paid) that reaches the above two segments and converts them into qualified prospects.
- A lead file for each delivery containing, at minimum, full name, active email, phone (when available), location, and a short note on how the lead was captured or verified.
- Verification proof or tool report so I can see bounce-free emails and authentic numbers.
- Compliance with all relevant privacy regulations in the regions you plan to source from.

Acceptance criteria
The list must pass a random sampling test for contact validity (working numbers where provided) and must demonstrate genuine interest in online learning or skill development offers. Leads found to be duplicates, bots, or scraped without permission will not be counted.

If you already have access to proven data sources, enrichment tools (Hunter, Zerobounce, NeverBounce, Apollo, etc.), or past EdTech results, let me know—those will help me choose quickly. I’m ready to move fast and will provide feedback after the first batch so we can scale together.

Skills: Data Mining, Market Research, Email Marketing, Data Scraping, Data Analysis, Lead Generation, Data Collection, Data Management

We are a digital growth and performance agency looking for a reliable Data & BI partner to support one of our e-commerce clients on an ongoing basis.

This is not a fixed-scope role. Instead, we are looking for someone who can jump into projects as needed, investigate issues, provide estimates, and execute efficiently.

Typical Projects

* GA4 and GTM implementation, audits, and troubleshooting
* Tracking and attribution investigations
* Funnel.io configuration and support
* Looker Studio dashboard development and maintenance
* BigQuery analysis and data pipeline work
* Server-side tracking projects (Stape)
* Data discrepancies and reporting validation
* Marketing analytics support across Meta, Google Ads, Yahoo Japan, and Criteo

Client Stack

* Shopify
* GA4
* GTM
* Funnel.io
* Looker Studio
* BigQuery
* Meta Ads
* Google Ads
* Yahoo Japan
* Criteo

What We Are Looking For

* Strong hands-on experience with GA4, GTM, Funnel.io, Looker Studio, and BigQuery
* Ability to troubleshoot tracking and attribution issues independently
* Clear communication and documentation
* Ability to assess requests, estimate effort, and recommend solutions
* Comfortable working asynchronously through Slack

Engagement Model

Work will be assigned on a project-by-project basis. Some weeks may require only a few hours, while larger investigations or implementations may require more involvement.

When applying, please share:

* Relevant GA4 / GTM / Funnel.io experience
* Examples of Looker Studio or BigQuery projects
* Experience with server-side tracking (Stape or similar)
* Your hourly rate and availability

We are looking for a long-term partner rather than a one-off freelancer

Key Responsibilities
Market Research & Industry Analysis
Conduct comprehensive research on the Australian IML packaging market.
Identify major dairy, yogurt, cheese, butter, and ice cream manufacturers.
Analyze packaging trends, sustainability initiatives, and sourcing practices.
Evaluate existing packaging suppliers and competitive market dynamics.
Customer & Contact Development
Develop a database of target companies and key decision-makers.
Identify Procurement Managers, Packaging Managers, Purchasing Managers, Supply Chain Managers, and Innovation Teams.
Gather relevant business intelligence and market insights.
Business Development & Outreach
Represent Pooja Plastics in the Australian market.
Conduct outreach through LinkedIn, email, phone calls, and industry networks.
Introduce Pooja Plastics' IML packaging solutions and capabilities.
Generate qualified opportunities and arrange meetings with prospective customers.
Competitive Benchmarking
Analyze local packaging suppliers and compare their offerings with Pooja Plastics.
Identify areas where Pooja Plastics can offer competitive advantages in quality, sustainability, service, or cost.

Skills: Research, Sales, Marketing, Market Research, Database Development, Business Intelligence, Data Analysis, Business Development

Project Overview:

We are conducting a comprehensive assessment of an MRO (Maintenance, Repair & Operations) function and require an experienced analyst/consultant to support the analysis of workforce and operational data and develop executive-level insights and presentation materials.

The objective is to assess workforce structure, productivity, workload, capacity, operational efficiency, and workforce costs across multiple workshops and locations.

Available Data:

The selected consultant will be provided with Excel datasets containing:

• Workforce and employee data
• Workshop and location information
• Job card / work order data
• Productivity indicators
• Labor hours
• Salary and workforce cost data
• Overtime data
• Maintenance activities and service types

Scope of Work:

Workforce Assessment
• Actual workforce analysis
• Workforce distribution by workshop and region
• Productive vs non-productive workforce assessment
Capacity & Productivity Analysis
• Job cards per employee
• Workshop productivity analysis
• Workload distribution
• Capacity utilization assessment
Operational Analysis
• Service volume analysis
• Maintenance activity analysis
• Work order analysis
• Operational workload assessment
Turnaround Time Analysis
• Service completion time analysis
• TAT reporting by service type and workshop
Workforce Cost Analysis
• Salary cost analysis
• Overtime analysis
• Cost per employee
• Cost per workshop
Executive Reporting
• Develop executive-level PowerPoint presentation
• Create charts, dashboards, and management insights
• Identify key findings, risks, operational gaps, and recommendations

Required Experience:

• Workforce Analytics
• HR Analytics
• Operations Analytics
• MRO / Fleet Maintenance / Workshop Operations experience
• Advanced Excel (Pivot Tables, Power Query, Power Pivot)
• Power BI (preferred)
• Executive Presentation Development
• Data Storytelling

Deliverables:

• Clean analytical Excel workbook
• Executive PowerPoint presentation
• Key findings and recommendations
• Data gap assessment
• Executive summary

Please provide examples of similar workforce analytics, maintenance operations, fleet management, workshop optimization, or operational performance projects completed previously.

I need a skilled chemist to prepare a single 400 g batch of a Class 1 solid amine sorbent for tabletop carbon-capture tests. You will start by sourcing a high-surface-area mesoporous silica gel in the 150–250 µm range, then carry out a wet-impregnation loading with the amine you judge most suitable—branched PEI, TEPA, or a clearly justified alternative.

Once the loading is complete, dry the material fully so it ships free-flowing and ready for use. Before dispatch, characterise the sorbent’s specific CO₂ adsorption capacity and its cycling stability over repeated adsorption–desorption runs, then package the data in a concise report.

Deliverables
• 400 ± 5 g of dry, functional sorbent granules
• Laboratory report detailing: synthesis parameters, % amine loading, adsorption-capacity figure, cycling-stability curve, apparatus and test conditions
• Photos of the finished material and secure shipment to my address

Acceptance criteria
– Granule size within 150–250 µm range
– Reproducible CO₂ uptake and no >10 % capacity loss across stated cycles
– Clear documentation enabling future scale-up or repetition

Let me know your proposed amine choice, target loading percentage, and the testing setup you plan to use so we can lock the procedure before you begin.

Skills: Chemical Engineering, Documentation, Data Analysis, Research and Development

I am looking for a Filipino-based accountant who can step into our numbers, make sense of them, and turn everything into a clear, living forecast that the rest of the team—none of whom are accountants—can follow with confidence.

My main priority is financial planning, specifically budgeting. I need help building a brand-new budget from the ground up while also tightening the one we already use, so you will be working on both creation and optimisation. The end goal is a forward-looking model that lets us see where cash is headed each week, month, and quarter, and instantly spot where we must adjust.

I handle day-to-day operations, so I value plain-language explanations. Expect to translate accounting jargon into straightforward steps, annotate formulas, and highlight the levers that truly move our finances. You are free to choose the best tools—Excel, Google Sheets, maybe a lightweight dashboard—but the file must remain easy to maintain once you hand it over.

Deliverables
• A fully built, easy-to-edit budget and cash-flow forecast (spreadsheet or similar).
• A brief guide or loom-style walkthrough showing how each section works, where to update figures, and how to read the projections.
• Recommendations for keeping the model accurate as we scale (e.g., monthly checks, key ratios to watch).

Acceptance Criteria
• All calculations reconcile with our current statements.
• Anyone on the team can update core inputs without breaking formulas.
• Forecast reflects realistic scenarios and flags potential cash gaps at least 60 days out.

If this sounds like something you do in your sleep, let’s connect—I’m ready to get started right away.

Skills: Accounting, Excel, Financial Research, Finance, Financial Planning, Data Analysis, Google Sheets, Financial Modeling

I need several PDF files converted into clean, well-structured Excel workbooks. Every table in the PDFs contains text only—no numeric calculations—and the information is already laid out in table format. However, many rows and columns include merged cells that must be recreated accurately in Excel or otherwise handled so the data lines up perfectly when the sheet is filtered or sorted.

Your task is simple but precision-critical: extract all text, preserve the original column order, deal with merged-cell layouts, and deliver a fully editable .xlsx file for each PDF. Cell contents should match the source exactly (spelling, punctuation, line breaks) and no data should end up split, duplicated, or lost in the process.

Please use whatever method you prefer—manual entry, Power Query, Adobe, Python + pandas, or specialist OCR tools—as long as the output is 100 % faithful to the source tables and ready for immediate use.

Skills: Data Processing, Data Entry, Excel, PDF, Data Cleansing, Data Extraction, Data Analysis, Data Management

I’m building a clean, reliable database of suppliers that serve the retail industry and need thorough online research to make it happen. Your role is to identify legitimate retail-focused suppliers (not manufacturers or distributors) worldwide, verify their credibility, and capture three key data points for each one:

• Contact details (company name, address, website, phone, primary contact & email)
• Product offerings (concise description or catalogue link)
• Pricing details (public price lists, tiered pricing or the clearest indicative figures you can source)

Please return the information in a well-structured Excel or Google Sheet, with one row per supplier and separate columns for every required field. Links to original sources must be included so I can quickly validate the data.

Quality is more important than quantity; every entry should be recent, accurate and relevant to the retail sector. I’ll spot-check a sample before final acceptance, looking for working contact info, up-to-date product lines and pricing that matches what’s published on the supplier’s site or catalog.

If you’re comfortable with deep web research, data verification and clear spreadsheet organisation, I look forward to reviewing your proposal and timeline.

Skills: Data Entry, Research, Excel, Web Search, Data Analysis, Google Sheets, Database Management, Data Collection

I have several spreadsheets and database exports that need to be merged into one clean, well-structured Microsoft Excel file. The records contain both text and numbers—customer names, product IDs, quantities, dates, and similar fields—so every entry has to be transferred with absolute accuracy.

Your task is to:
• Consolidate all sources into a single .xlsx workbook, arranging columns consistently.
• Preserve original values and number formats while removing obvious duplicates, extra spaces, and stray characters.
• Apply appropriate Excel formatting for dates, currency, and percentages so the data is ready for analysis.
• Provide a short change log noting any anomalies or assumptions.

If you are detail-oriented, fast, and comfortable working exclusively in Excel, I look forward to seeing how quickly you can complete this.

Skills: Data Processing, Data Entry, Excel, Word, Data Cleansing, Data Analysis, Database Management, Data Management

Saya sedang menyelesaikan tugas penelitian untuk mata kuliah Ilmu Sosial dan membutuhkan pendampingan menyeluruh dengan pendekatan studi kasus.
Lingkup kerja yang saya harapkan meliputi:
• Penyusunan kerangka teori yang relevan dan mutakhir.
• Perumusan pertanyaan penelitian spesifik untuk studi kasus.
• Desain metodologi studi kasus—mulai dari penentuan subjek, instrumen pengumpulan data, hingga rencana analisis.
• Panduan pengumpulan data lapangan atau desk research, beserta contoh instrumen wawancara/observasi jika diperlukan.
• Bantuan analisis data kualitatif dan interpretasi temuan agar selaras dengan tujuan penelitian.
• Penyusunan laporan akhir yang mencakup pendahuluan, tinjauan pustaka ringkas, metodologi, hasil, diskusi, dan kesimpulan.

Saya terbuka berdiskusi mengenai tema kasus spesifik, format sitasi, dan batasan panjang tulisan. Mohon sertakan pengalaman Anda di bidang penelitian Ilmu Sosial, contoh studi kasus yang pernah ditangani, serta perkiraan jadwal penyelesaian. Saya menargetkan hasil yang rapi, terstruktur, dan siap dikumpulkan sesuai standar akademik.

Skills: Data Processing, Data Entry, Research, Excel, Web Search, Qualitative Research, Academic Writing, Data Analysis

I have a collection of digital files—mainly PDFs and Word documents—that need to be transcribed with care into structured Excel spreadsheets. Everything must be entered manually rather than through any automated scraping or conversion tools, so close attention to spelling, punctuation, and cell formatting is essential.

You will receive the source files, and I will provide a simple template that shows the required column order, data types, and any validation rules. Once the first few rows are complete, we can do a quick review together to confirm the layout before you proceed with the remaining records.

Deliverable:
• One fully-populated Excel workbook matching the template, ready for immediate use.

Accuracy and consistency matter more than speed; however, a clear turnaround estimate helps me plan the next stage of the project. Let me know your availability and how soon you can start.

Skills: Data Processing, Data Entry, Excel, Transcription, Word, Word Processing, Data Analysis, Data Management

Saya membutuhkan bantuan untuk dua hal sekaligus: merapikan dokumen melalui pengetikan ulang yang rapi, lalu menganalisis data untuk menghasilkan laporan yang mudah dipahami. Dokumen sumber sudah tersedia dalam berbagai format (PDF, gambar, dan lembar kerja mentah); saya ingin semuanya diketik ulang atau di-input ke Excel/Google Sheets agar siap diproses lebih lanjut.

Setelah data tersusun, saya memerlukan:
• pembersihan data dasar (penghapusan duplikat, koreksi format angka/tanggal)
• analisis statistik ringkas dan visual sederhana (tabel pivot, grafik tren, atau diagram batang—pilih metode paling relevan)
• ringkasan temuan utama dalam satu laporan singkat (boleh di Word atau PowerPoint)

Kunci keberhasilan proyek: akurasi pengetikan, konsistensi format, serta kemampuan menyajikan insight yang jelas dari data mentah. Jika Anda memiliki pengalaman melakukan dua jenis tugas ini secara bersamaan, jelaskan secara singkat di lamaran Anda—saya memprioritaskan freelancer dengan rekam jejak serupa.

Berikan estimasi waktu penyelesaian untuk:
1. proses pengetikan/input, dan
2. pembuatan analisis beserta laporan.

File contoh akan saya kirim setelah kita sepakat. Saya menantikan kolaborasi yang lancar dan hasil yang tepat sasaran.

Skills: Data Processing, Data Entry, Excel, Word, Statistical Analysis, Data Cleansing, Data Visualization, Data Analysis