Data Analysis Projects on Upwork Efficiently

I need a comprehensive database of architects in Delhi ncr, lucknow, chandigarh and jaipur. The data should include contact information specifically their phone numbers along with website, location etc.

The ideal candidate should have:
- Experience in data collection and research
- Ability to deliver accurate and verified contact information

Skills: Data Processing, Data Entry, Research, Database Development, Data Cleansing, Data Analysis, Database Management, Data Collection, Data Management, Data Annotation

Summary

We are a French digital agency delivering premium projects (WordPress, Shopify, custom applications) for large enterprise clients in France and internationally. We are looking for an experienced Digital Project Manager, able to run several complex technical projects at the same time, from initial scoping through to go-live, coordinating developers, clients, and third-party providers.

Languages (mandatory):** Fluent French and fluent English (written and spoken) are required — you'll be dealing daily with both French-speaking and English-speaking clients, sometimes on the same day.

Location (mandatory):** This role is open only to candidates based in Europe (CET/CEST-compatible time zone). Applications from candidates located outside Europe will not be considered.

What you'll work on

You will independently manage a portfolio of varied digital projects: e-commerce migrations (e.g. PrestaShop to Shopify), multi-site corporate/showcase WordPress sites, custom web applications (Python/FastAPI, React), third-party tool integrations (CRM, analytics, consent/CMP), and AI-driven projects. You'll be the main point of contact for clients, owning timelines, scope, and delivery quality, working directly with our internal technical teams.

Required skills and experience

- Proven experience (minimum 3 years) in digital project management, ideally within a web or communications agency, running several projects in parallel
- Strong command of project management methodologies (scoping, planning, prioritization, risk management, client reporting) and associated tools (Notion, Monday, Trello, Jira, or equivalent)
- Genuine technical understanding of web environments: CMS platforms (WordPress, PrestaShop, Shopify), enough grasp of development concepts (PHP, REST APIs, databases) to talk to developers without depending on them to assess feasibility or timelines
- Solid grounding in technical SEO, tracking, and data privacy (GA4, GTM, consent management)
- Excellent writing skills in both French and English: specifications, status reports, client emails, documentation
- Strong client sense: able to reassure, arbitrate, and translate technical topics for non-technical stakeholders
- Rigor and autonomy in tracking multiple workstreams simultaneously, with clear asynchronous communication

AI tool usage — mandatory

We expect our project managers to actively use AI tools (Claude, ChatGPT, AI-assisted project management tools, etc.) to speed up document drafting, meeting-note synthesis, or client data analysis. This is a normal part of how we work.

The rule is simple and non-negotiable: **any AI-generated content must be reviewed, checked, and validated by you before it goes to the client.** We do not accept unreviewed deliverables — you remain responsible for anything sent under your name.

Profile we're looking for

- Strong organizational skills and sense of priority, comfortable juggling multiple clients and deadlines
- Natural leadership to coordinate a team of developers without direct hierarchical authority
- Technical curiosity and genuine interest in e-commerce, AI, and digital transformation
- Ability to challenge a client diplomatically rather than simply executing requests

Nice to have

- Experience with e-commerce migrations (PrestaShop, Shopify, WooCommerce)
- Understanding of how a multi-client agency operates, with fixed-price or time-and-materials billing
- Working knowledge of Russian or another European language
- Experience in e-commerce, beauty/luxury, or B2B services sectors
- Awareness of GDPR / EU AI Act as applied to digital projects

Job Overview
We are looking for a Senior Healthcare Data Analyst (5–7 years experience) with extensive experience in US Healthcare Data Interoperability and Clinical Coding Systems.

In this role, you will analyze, map, and validate clinical data across source and target schemas for projects involving EHR/EMR platforms, payer systems, and claims data. A core responsibility will be evaluating and reviewing the accuracy of AI-generated clinical code mappings and medical synonyms, specifically within the PAMI domain (Problems, Allergies, Medications, and Immunizations).

Note: Candidates with a Nursing (RN/BSN), Medical Coding (CPC/RHIA), or Clinical Informatics background who have transitioned into Data Analysis are strongly encouraged to apply.

Key Responsibilities
Clinical Data & AI Validation: Review, audit, and evaluate AI/ML-generated mapping outputs to ensure accurate translation between unstructured clinical text/synonyms and standardized codes.

Schema Mapping & Transformation: Map, transform, and validate clinical and administrative data moving between source and target systems based on strict schema specifications.

PAMI Domain Expertise: Perform data analysis and quality checks on PAMI datasets—Problems (ICD-10, SNOMED-CT), Allergies (RxNorm, UNII), Medications (RxNorm, NDC), and Immunizations (CVX).

EHR Integration Knowledge: Analyze datasets extracted from or feeding into leading US EHR/EMR systems (Epic, Cerner, Athenahealth, Allscripts, etc.).

Data Quality & Interface Audit: Identify data discrepancies, schema mismatches, and truncation issues across integration pipelines (HL7 v2/v3, C-CDA, FHIR, APIs).

Cross-Functional Collaboration: Partner with DBAs, Data Engineers, and AI/ML teams to define data transformation rules and mapping validation logic.

Required Qualifications
5–7 years of hands-on Data Analysis experience in the US Healthcare domain.

Deep expertise in clinical code sets: ICD-10-CM, SNOMED-CT, RxNorm, CVX, LOINC, and CPT/HCPCS.

Strong understanding of clinical terminology, synonyms, and clinical intent (especially around PAMI).

Practical knowledge of Healthcare Interoperability standards (HL7, FHIR, C-CDA) and interface data mapping.

Direct experience working with datasets from Epic, Cerner, Athenahealth, or similar EMRs.

Strong SQL skills for querying databases, verifying schema consistency, and auditing mapped data.

Preferred / Bonus Qualifications
Clinical background (Nursing / RN, Clinical Informatics, or Certified Medical Coder).

Prior experience evaluating NLP or AI model outputs for medical terminology mapping.

I have an existing Looker Studio dashboard that is connected to multiple data sources including Google Sheets, Google Analytics, Google Ads, and Meta Ads. The dashboard needs a thorough review, fixing, and improvement to make sure everything is working correctly, displaying accurate data, and looking clean and professional.

This is not a build-from-scratch job. I need someone who can jump into an existing setup, quickly identify what's wrong or underperforming, and make it right.

What needs to be done

-Review the entire dashboard and audit all connected data sources
-Fix any broken or disconnected data source connections across Google Sheets, Google Analytics, Google Ads, and Meta Ads
-Resolve any metrics that are pulling incorrectly, showing wrong numbers, or not displaying at all
-Fix any broken calculated fields, blended data issues, or filter errors
-Improve the overall layout, chart types, and visual structure for better clarity and readability
-Make sure all four data sources are syncing, blending, and reporting accurately together
-Optimize date range controls, comparison periods, and filtering options
-Ensure key marketing metrics such as impressions, clicks, spend, conversions, ROAS, and sessions are all displaying correctly from the right sources
-Tidy up any duplicate or redundant elements and streamline the dashboard flow

Who I'm looking for

- Someone with strong hands-on experience in Looker Studio, not just basic knowledge
- Must have worked specifically with Google Sheets, Google Analytics (GA4), Google Ads, and Meta Ads connectors before
- Comfortable with data blending across multiple sources in Looker Studio
- Able to troubleshoot connector issues and fix data discrepancies independently
- Detail-oriented - accuracy of data is the top priority
- Available to start quickly and deliver within 1–2 days
- Good communicator - you will need to ask the right questions before diving in

What I will provide

- Full access to the existing Looker Studio dashboard
- Access to all connected data sources
- Clear brief on what metrics matter most and what currently looks wrong
- Fast responses to any questions during the project

To apply, please share the following - applications without these will not be considered:

- Your experience with Looker Studio and which of the four data sources you have worked with
- A link or screenshot of a Looker Studio dashboard you have previously built or fixed
- A quick note on how you would approach auditing and fixing an existing dashboard

Budget: $20 fixed price. Open to a quick discussion before starting to make sure we're aligned.

Saya adalah seorang Engineering Technician dengan pengalaman di bidang manufaktur elektronik. Lulusan D3 Mekatronika dan saat ini sedang melanjutkan pendidikan S1 Teknik Industri untuk memperkuat kemampuan dalam optimasi proses, manajemen operasi, dan peningkatan kualitas.

Saya memiliki pengalaman dalam troubleshooting mesin produksi, preventive maintenance, analisis akar penyebab masalah (root cause analysis), penyusunan SOP, dokumentasi teknis, serta implementasi continuous improvement. Saya juga terbiasa bekerja dengan komponen otomasi industri seperti PLC, sensor, inverter, relay, dan sistem kontrol mesin.

Saya dikenal sebagai pribadi yang teliti, cepat belajar, bertanggung jawab, dan berorientasi pada solusi. Saya berkomitmen memberikan hasil kerja yang akurat, tepat waktu, dan sesuai kebutuhan klien.

Keahlian yang saya tawarkan:

* Industrial Engineering
* Mechatronics & Automation
* PLC Troubleshooting
* Technical Documentation & SOP
* Preventive Maintenance
* Root Cause Analysis (RCA)
* Process Improvement
* Quality Management (ISO 9001:2015)
* Microsoft Excel & Data Analysis
* Technical Report Writing

Saya terbuka untuk proyek jangka pendek maupun jangka panjang dan siap membantu bisnis Anda meningkatkan efisiensi serta menyelesaikan permasalahan teknis dengan pendekatan yang profesional.

Skills: Electronics, Manufacturing, Troubleshooting, Technical Writing, Solidworks, PLC & SCADA, Electrical Engineering, AutoCAD, Industrial Engineering, Automation

I need a focused SEO campaign that translates directly into more sales of my physical products. The immediate priority is a data-backed keyword strategy that targets purchase-ready queries in my niche. From there, I want every product page and key landing page fully optimised—titles, meta descriptions, URL structure, internal links, schema markup, all tuned for both search intent and conversion.

Once the on-page work is solid, I expect a steady, white-hat link-building programme that earns relevant, authoritative backlinks to lift domain authority and keep rankings moving upward.

Key deliverables:
• Comprehensive keyword research report with search volume, competitiveness and mapped page intent
• On-page optimisation implementation (or a detailed change sheet if direct access isn’t possible) for all priority pages
• Monthly link-building plan and execution report highlighting new links, anchor text and target pages
• Baseline and follow-up performance metrics: rankings, organic traffic, click-through rate and, most importantly, tracked sales attributed to organic search

I already have Google Analytics and Search Console set up and can provide access. All work must be fully documented so progress is clear and reproducible.

Skills: Internet Marketing, SEO, Link Building, Marketing, Conversion Rate Optimization, Content Marketing, Keyword Research, Data Analysis

Hi everyone,

I am running my R-based proteomics pipeline and would like to get help with best approaches to deal with variability/batch correction, and covariate selection. I have run my DE analysis and processing multiple times, using different covariates/batch correction, and I am not sure which one is the best approach for my dataset. I have identified some confounders in my dataset, and some covariates that are closely associated with groups and with other variables!

I would like some help with:

discussing processing and batch corrections methods (and whether to normalize before batch correction)
Figuring out the best approach to deal with my confounded variables
How to use variance partitioning to estimate variability when one variable = another variable
What covariates to include
What type of DE analysis is best and what settings to use
Running the DE analysis and pathway enrichment and cross checking it with my results to see if independent codes reproduce the results
Deliverables
Run your own DE code and pathway enrichment to check if my results are reproducible and discuss best approaches for processing, DE model, and pathway enrichment

Existing KPI dashboard with graphs in place. update required.

Skills: PHP, JavaScript, Data Processing, Excel, HTML, Data Visualization, Data Analysis, Data Management

We are looking for a person in Austria who has an active account with all of some of Binance, OKX, Coinbase, Bitstamp and/or Kraken, and can reliably collect pricing data throughout the customer journey for cross-border stablecoin use cases.

This project focuses on collecting pricing information at each stage of the journey, including fiat deposit, fiat-to-stablecoin on-ramping, stablecoin conversion, on-chain and off-chain transfers, cross-chain routing where relevant, and fiat off-ramping at the receiving end. We want the data collection to reflect the actual customer experience of moving value internationally through the platform, including the rates, spreads, and fees shown at different points in the process.

Data will be gathered through online account journeys and, where relevant, any additional steps needed to document the full flow.

Main deliverable:
Data entered into our forms, with supporting screenshots.

Main requirements:
Currently live in Austria
Have access to a verified account of any of the platforms mentioned
Comfortable documenting platform journeys involving fiat deposits, conversions, transfers, and withdrawals
Good English
Good computer skills
Responsive and adaptable to changing requirements

This job does not require any digital asset or fiat transactions.

We have multiple similar projects and are open to long-term collaboration.

Fixed-price contract.

I need an expert to review the draft report, editing, design, and finalization of the Tanzania ICT Outlook Report 2025. Experience in Data Analysis, digital economy analysis, ICT market intelligence, policy research, and executive publications is welcomed. Expert team with following knowledge is highly invited:
a. Have experience in preparing national ICT, digital economy, telecommunications, innovation, or technology reports.
b. Strong portfolio of reports prepared for governments, regulators, international organizations, or development partners.
c. Excellent English writing and editing skills.
d. Advanced proficiency in Excel, Power BI/Tableau, Adobe Illustrator, InDesign, Canva, or equivalent visualization tools.

Overview

I'm looking for an experienced Marketing Analytics Specialist who can help me transform a large amount of marketing data into a simple, actionable weekly decision-making system.

This is NOT a Meta Ads management project.

I am not looking for someone to optimize my campaigns or manage my advertising account.

Instead, I'm looking for someone who can build a decision support system that helps me make better strategic decisions based on my existing data.

This is not a typical dashboard project.

I'm not looking for dozens of charts or KPIs.

I'm looking for someone who understands attribution, lead generation funnels, customer journeys and marketing analytics well enough to design a reporting system that answers one simple question every week:

"Based on all available data, what should I do this week?"


About my business

I sell digital anxiety treatment programs in the German market.

My core funnel looks like this:

Meta Ads
→ Free video course (lead generation)
→ Email sequence
→ Paid online course (€297)

The customer journey is relatively long.

Most customers do not purchase immediately after opting in.

Purchases often happen several days or even several months after the initial lead.

Because of this, same-day ROAS or standard Meta reporting is often misleading.

I use HYROS for attribution.


Current situation

Over the years my Meta account has grown considerably.

Today it contains:

multiple campaign structures
different bidding strategies
CBO campaigns
Bid Cap campaigns
Broad targeting
Warm audience campaigns
many historical experiments
many creatives

Some creatives exist in several campaigns because different campaign structures were tested over time.

The account is profitable.

The challenge is not profitability.

The challenge is that I now have so much data that it has become difficult to identify the few decisions that actually matter each week.

The objective

I want to reduce complexity.

Every Monday morning I would like to open one dashboard and, within approximately 10 minutes, know:

Which campaigns deserve more budget?
Which campaigns should remain unchanged?
Which creatives generate the most valuable customers?
Which creatives are losing effectiveness?
Which lead cohorts develop into customers most successfully?
Which parts of the account require no action?
Which changes should I avoid making this week?

The dashboard should help me make better decisions, not simply provide more metrics.

Important context

This is not an e-commerce business.

It is a lead generation business with delayed conversions.

Therefore I'm much more interested in:

Cohort analysis
Conversion lag
Customer quality
First Click attribution
Last Click attribution
Long-term profitability
Creative performance over time

than in daily ROAS fluctuations.

I do not want to optimize based on yesterday's performance.

I want to understand which marketing decisions create the highest long-term profitability.

Available data

Current data sources include:

HYROS attribution data
First Click
Last Click
Sales
Profit
Revenue
Meta Ads
Meta Pixel / Conversion API events
Email marketing platform (if useful)

If additional data sources would significantly improve reporting, I'm open to recommendations.


What I need

I am looking for someone who can first understand my business and then design a reporting framework that makes weekly decision-making much easier.

I'm not looking for the most beautiful dashboard.

I'm looking for the most useful one.

The ideal dashboard should reduce uncertainty and clearly indicate where my attention should go each week.


Project structure

I would like to split this project into two separate phases.

Phase 1 – Strategy & Dashboard Design

This phase focuses entirely on understanding the business before building anything.

Tasks include:

Review my current setup
Understand my sales funnel
Review available data sources
Recommend the metrics that actually matter
Design a decision-making framework
Create a dashboard concept (wireframe/mockup is sufficient)
Explain why each KPI belongs in the dashboard
Explain which decisions each KPI should support
Deliverables
Dashboard concept
KPI recommendations
Decision framework
Dashboard mockup / wireframe
Written explanation of the decision logic
Phase 2 – Dashboard Implementation

Only after Phase 1 has been approved.

Tasks include:

Build the dashboard
Connect data sources where appropriate
Implement calculations
Create an easy-to-use weekly reporting system
Make recommendations regarding future improvements

Reporting platform is open for discussion.

Possible options include:

Looker Studio
Power BI
Tableau
Other suitable BI solutions
Ideal experience

I'm looking for someone with experience in several of the following areas:

HYROS
Meta Ads
Marketing attribution
Lead generation funnels
Marketing analytics
Looker Studio
Power BI
Tableau
SQL (nice to have)
Cohort analysis
Conversion lag analysis
Customer journey analytics

Experience with digital products, coaching businesses or online education is highly preferred.

Please answer these questions

Please include the following information in your proposal:

Have you worked with HYROS before?
Have you built reporting systems for businesses where purchases happen days or weeks after the initial lead?
How would you approach this project?
Which reporting platform would you recommend and why?
Can you share examples of dashboards you have built?
Approximately how many hours do you estimate for:
Phase 1
Phase 2
What would be your estimated price for each phase?
How success will be measured

This project will be successful if, after opening the dashboard every Monday morning, I can confidently answer these three questions within 10 minutes:

What should I increase?
What should I leave unchanged?
What should I change?

If the dashboard provides clarity instead of simply presenting more data, the project has been successful.

One final note

I'm looking for a long-term collaboration with someone who enjoys solving complex marketing analytics problems.

If Phase 1 is successful, there is a strong possibility of future work, including further reporting improvements, deeper attribution analysis and ongoing optimization of the decision support system.

I want to launch a web-based platform similar to babylovegrowth.ai and predis.ai that delivers AI-driven recommendations focused on accelerating user growth. The core of the build should ingest basic analytics data, detect patterns, and surface actionable suggestions my team can apply immediately.

Key objectives
• AI-driven recommendations: The engine must analyze incoming data and automatically suggest next-best actions.
• User growth tracking: Dashboards should highlight acquisition, activation, retention, and churn so we can see the impact of every experiment.
• Built-in growth playbooks: I need templates for referral programs, content marketing, and social media campaigns that the AI can personalize and schedule.

Workflow I’m picturing
1. Data connection – pull from typical sources (e.g., Google Analytics, social channels, e-commerce or CRM APIs).
2. Insight layer – clean the data, run models, and score opportunities.
3. Recommendation feed – present prioritized tasks with clear “why this matters” context.
4. Experiment tracker – log each action and attribute results back to the suggestion that triggered it.

Please outline your preferred tech stack, any existing frameworks or models you’d leverage, and a realistic timeline to deliver a functional MVP followed by iterative enhancements. I value clean code, explainable AI outputs, and a responsive UI.

Skills: PHP, Software Architecture, Google Analytics, MySQL, Data Analysis, AI Model Development, AI Content Creation, AI Development

Are you looking for a reliable Data Entry Specialist and Advanced Microsoft Excel Expert who delivers accurate, organized, and high-quality work?

You're in the right place!

I provide professional Data Entry, Excel Spreadsheet Management, Data Cleaning, Data Formatting, and Administrative Support services for businesses, entrepreneurs, and individuals. I pay close attention to detail and ensure every project is completed with accuracy, confidentiality, and on-time delivery.

What I Do Best:
Data Entry & Administrative Support – Accurate data entry, copy-paste tasks, typing, web research, data collection, CRM data entry, file conversion, PDF to Excel/Word, and virtual assistance.

Advanced Microsoft Excel – Data cleaning, data formatting, Excel formulas, Pivot Tables, VLOOKUP, XLOOKUP, INDEX-MATCH, Conditional Formatting, charts, dashboards, spreadsheet management, and data analysis.

Why Choose Me?
100% Accurate Work
Fast Turnaround Time
Attention to Detail
High-Quality Results
Confidential Data Handling
Clear Communication
Client Satisfaction is My Priority

Whether you need Excel data processing, spreadsheet organization, PDF conversion, web research, data cleanup, or bulk data entry, I am committed to providing efficient and reliable support.

Let's work together to make your data accurate, organized, and easy to manage.
Thanks & Regards
Pooja K

Skills: Data Processing, Data Entry, Excel, Charts, Data Analysis, Administrative Support, Data Collection

Petrel 3D Seismic Interpretation – North Sea Zechstein Salt Diapir


JOB DESCRIPTION

This project requires a senior Petrel seismic interpreter, exploration geophysicist or subsurface geoscientist to complete 3D seismic interpretation of the Mungo Zechstein salt diapir in the UK Central North Sea (UKCS).

The core work involves Petrel 3D seismic interpretation, SEG-Y data QC, well-to-seismic ties and checkshot integration, salt tectonics, salt-diapir boundary interpretation, intra-salt reflection/stratigraphic interpretation, seismic attributes, and 3D geobody extraction.

The objective is to characterize the external and internal architecture of the salt diapir and support a preliminary assessment of its suitability for underground hydrogen storage in salt caverns.

This is not a generic Petrel geological modelling or reservoir simulation task. I need someone with direct hands-on experience in salt tectonics, salt domes or salt diapirs, and advanced 3D seismic interpretation.


REQUIRED EXPERIENCE

- Advanced 3D seismic interpretation in Petrel
- SEG-Y import, survey setup and data QC
- Well-to-seismic ties and checkshot integration
- Salt tectonics and salt diapir interpretation
- Intra-salt reflection and stratigraphic interpretation
- Seismic attributes such as Chaos, Variance/Coherence and Envelope
- 3D geobody extraction and volumetric/geometric analysis
- Ability to explain seismic resolution and lithological interpretation uncertainties

Experience with the North Sea, UKCS, Zechstein salt or underground hydrogen storage is strongly preferred.

Rock physics and seismic forward modelling experience would be an advantage, but it is not mandatory for the initial interpretation stage.


SCHEDULE

The selected specialist must be able to:

- Start promptly
- Provide an initial progress update on Wednesday, 29 July 2026
- Provide weekly progress updates thereafter
- Complete the project before the end of August 2026

I will provide the detailed technical requirements and background documents to shortlisted candidates. I will provide the relevant project files after I have confirmed the candidate’s experience and suitability.

Successful completion may lead to long-term cooperation on future geophysics, geology and subsurface projects.


PLEASE ANSWER WHEN APPLYING

1. Have you personally interpreted salt domes, salt diapirs or intra-salt structures in Petrel? Please briefly describe the project and your role.

2. Which Petrel workflows have you used for seismic attributes, well ties and geobody extraction?

3. Can you provide a relevant example or anonymized screenshot of your previous work?

4. Do you currently have access to a working Petrel environment?

5. Can you provide the first progress update on Wednesday, 29 July 2026, and complete the project before the end of August 2026?

6. Please provide one total fixed-price bid for the complete project. Do not split the price into phases or milestones.
——————————
1. Petrel seismic interpreter
2. Petrel exploration geophysicist
3. Petrel subsurface geoscientist
4. 3D seismic interpretation Petrel
5. salt diapir seismic interpretation
6. salt tectonics geophysicist
7. intra-salt seismic interpretation
8. Zechstein Petrel geophysicist
9. North Sea seismic interpreter
10. UKCS geophysicist Petrel
11. Petrel seismic attributes geobody
12. well-to-seismic tie checkshot Petrel

Skills: Data Processing, Engineering, Scientific Research, Geology, 3D Modelling, Petroleum Engineering, Geospatial, Physics, Data Analysis, Simulation

I need mixed text and numerical information pulled directly from social media profiles and posts and entered into a structured spreadsheet. Everything you’ll work with is online; there are no scanned pages or printed documents involved. Accuracy is critical because the figures will feed an upcoming analytics report.

You will receive:
• A link list of the exact social accounts or hashtag feeds to mine
• A template (Google Sheets preferred, Excel acceptable) showing the columns and formats I expect—handles, post dates, engagement counts, and any notes

Your task is to open each link, capture the specified fields, normalise engagement numbers where necessary (for example, converting “1.2K” to 1,200), and keep the text exactly as it appears. When a value is missing or unclear, simply flag it and include the source URL in a separate comments column.

Deliverables
• Completed spreadsheet with every row filled and totals double-checked
• Brief log of any ambiguous or unavailable data with corresponding URLs
• One revision round after my review

Let me know your estimated turnaround time and any questions about the data structure. I’m ready to start as soon as you can.

Skills: Data Processing, Data Entry, Excel, Google Analytics, Data Analysis, Google Sheets, Data Collection, Data Management

I’m looking for a well-structured market research report that pinpoints how the retail sector is performing in Jhalawar, Rajasthan. The study should give me clear, data-backed insights I can act on quickly.

Scope
• Map the current size and composition of Jhalawar’s retail market.
• Profile key consumer segments—who they are, what they buy, and why.
• Identify active and emerging retail competitors, noting strengths and gaps.
• Highlight growth opportunities, untapped niches, and potential risks in the district.

What I expect to receive
1. A concise executive summary.
2. Detailed findings supported by recent statistics, field interviews or surveys, and credible secondary sources.
3. Practical recommendations I can use for strategic planning or investor presentations.
4. All raw data and references neatly organised for verification.

Please outline your proposed research approach, timelines, and any local resources or data-gathering tools you plan to use when you bid.

Skills: Research, Report Writing, Business Analysis, Market Research, Statistical Analysis, Data Analysis, Competitor Analysis, Data Collection

I need support handling a steady flow of numerical information that currently sits in various raw files. Your main focus will be:

• Entering the numbers into clearly structured Microsoft Excel spreadsheets, following my column layout and file-naming conventions.
• Cleaning and organizing the data as you go—removing duplicates, standardizing number formats, fixing obvious inconsistencies, and flagging anything that looks questionable.

Accuracy is critical; totals must reconcile and every record must line up with its source. I will provide the raw files, the target template, and brief written guidelines. Regular check-ins over chat or email keep us on schedule, and I expect the first batch turned around within two days of receipt. If we work well together, there will be additional datasets to process.

Proficiency in Excel functions such as conditional formatting, find/replace, and basic formulas (SUM, AVERAGE, VLOOKUP) will help you spot and resolve issues quickly. Please only take this on if meticulous data entry is your strength and you’re comfortable working solely with numerical data.

Skills: Visual Basic, Data Processing, Data Entry, Excel, Data Analysis, Data Management

I need an expert to review the draft report, editing, design, and finalization of the Tanzania ICT Outlook Report 2025. Experience in Data Analysis, digital economy analysis, ICT market intelligence, policy research, and executive publications is welcomed. Expert team with following knowledge is highly invited:
a. Have experience in preparing national ICT, digital economy, telecommunications, innovation, or technology reports.
b. Strong portfolio of reports prepared for governments, regulators, international organizations, or development partners.
c. Excellent English writing and editing skills.
d. Advanced proficiency in Excel, Power BI/Tableau, Adobe Illustrator, InDesign, Canva, or equivalent visualization tools.

I need mixed text and numerical information pulled directly from social media profiles and posts and entered into a structured spreadsheet. Everything you’ll work with is online; there are no scanned pages or printed documents involved. Accuracy is critical because the figures will feed an upcoming analytics report.

You will receive:
• A link list of the exact social accounts or hashtag feeds to mine
• A template (Google Sheets preferred, Excel acceptable) showing the columns and formats I expect—handles, post dates, engagement counts, and any notes

Your task is to open each link, capture the specified fields, normalise engagement numbers where necessary (for example, converting “1.2K” to 1,200), and keep the text exactly as it appears. When a value is missing or unclear, simply flag it and include the source URL in a separate comments column.

Deliverables
• Completed spreadsheet with every row filled and totals double-checked
• Brief log of any ambiguous or unavailable data with corresponding URLs
• One revision round after my review

Let me know your estimated turnaround time and any questions about the data structure. I’m ready to start as soon as you can.

Skills: Data Processing, Data Entry, Excel, Google Analytics, Data Analysis, Google Sheets, Data Collection, Data Management

Project Title

Spatial Analysis and Machine Learning-Based Air Pollution Prediction in Bihar Using Land Use Regression (LUR), GIS, Remote Sensing, Kriging, and Machine Learning

Project Overview

I have completed a B.Tech major project on air pollution prediction in Bihar. Most of the technical work has already been completed. I have all the required outputs, maps, figures, tables, graphs, machine learning results, and ArcGIS outputs. I need a professional PowerPoint presentation and a thesis report prepared using my existing work.


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Work Already Completed

1. Data Collection

Landsat 8/9 satellite imagery downloaded from USGS Earth Explorer (2023–2025)

CPCB air quality monitoring data

Bihar administrative boundary

Meteorological variables (Temperature and Relative Humidity)


2. GIS & Remote Sensing (ArcGIS)

Area of Interest (AOI) creation

Image mosaicking

Image projection

Raster clipping

False Colour Composite (Band 5-4-3)

Training sample collection

Maximum Likelihood Classification (MLC)

LULC map generation for 2023, 2024, and 2025

Fishnet generation (5 km × 5 km)

Tabulate Area analysis

Spatial Join

Final LUR dataset preparation


3. Python Analysis

Data preprocessing

Exploratory Data Analysis (EDA)

Descriptive statistics

Histograms

Boxplots

Scatter plots

Correlation matrix

Correlation heatmap


4. Land Use Regression (LUR)

Predictor variable preparation

Response variable preparation

Linear regression modelling

Model evaluation


5. Machine Learning Models

The following models have already been implemented:

Linear Regression

Decision Tree

Random Forest

Gradient Boosting

Support Vector Regression (SVR)


Available results include:

R²

RMSE

MAE

Model comparison tables

Feature importance

Individual pollutant results


6. Kriging

Ordinary Kriging

Semivariogram

Nugget

Range

Sill

Spatial interpolation maps


7. Future Prediction

Future pollutant prediction maps

Future prediction tables

Model outputs



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Files Available

I will provide:

Existing PowerPoint presentation (~70 slides)

ArcGIS screenshots

USGS screenshots

LULC maps

Fishnet maps

Tabulate Area outputs

Spatial Join outputs

LUR outputs

Machine learning results

Feature importance figures

Kriging outputs

Prediction maps

Thesis draft documents

Supporting ZIP files



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Task 1 – PowerPoint Presentation

Update my existing PowerPoint only.

Do NOT:

Create a new presentation.

Change the slide order.

Change the theme.

Change fonts.

Change colours.

Change layouts.

Remove existing images.


Required Work

For every image, map, graph, screenshot, or table:

Add concise technical content.

Add Objective.

Add Description.

Add Key Observations.

Add Significance.

Add Figure Caption.


If supporting documents contain explanations, use them after rewriting into presentation language.

If no explanation exists, generate technically correct content matching the figure.

Maintain a professional IIT/NIT seminar presentation style.


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Task 2 – Thesis Report

Prepare a complete thesis using my project work.

Include:

Chapter 1

Introduction

Problem Statement

Research Gap

Objectives


Chapter 2

Literature Review


Chapter 3

Study Area

Dataset

Methodology


Chapter 4

LULC Analysis

Fishnet

Tabulate Area

Spatial Join

LUR Dataset


Chapter 5

Exploratory Data Analysis

Correlation Analysis

Regression Analysis


Chapter 6

Machine Learning Models

Individual Model Results

Feature Importance

Model Comparison


Chapter 7

Kriging

Semivariogram

Spatial Prediction


Chapter 8

Future Prediction

Discussion

Conclusion

Future Scope



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Writing Requirements

Original content (no plagiarism)

Technical and academic language

Suitable for a B.Tech thesis

Consistent formatting

Proper figure captions

Proper table captions

Cross-references to figures and tables

Logical flow between sections



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Expected Deliverables

1. Updated editable PowerPoint (.pptx) with all existing figures retained and completed technical content.


2. Complete thesis report (.docx) based entirely on my project.


3. Figure captions and table captions throughout.


4. Presentation and thesis aligned so that the same technical interpretations are used consistently.



Note: The research work, maps, models, and outputs are already completed. The task is to transform the existing material into a polished presentation and thesis without altering the technical workflow or results.

Skills: Python, Powerpoint, Technical Writing, Machine Learning (ML), Remote Sensing, Environmental Engineering, ArcGIS

I need a clean, reliable data set that shows five consecutive fiscal years of financial performance for Indian private limited companies. For every company you cover, I want the full trio of statements—balance sheet, income statement, and cash-flow statement—delivered in Excel so figures can be filtered, compared, and modelled directly.

The brief is intentionally broad on industry; I’m open to technology, manufacturing, healthcare, or any other sector you can source, as long as the data is complete and verifiable. Pull the numbers from MCA filings, audited annual reports, or any reputable public database and make sure the statements reconcile with one another.

Deliverables
• One Excel workbook per company
• Separate tabs (or clearly labelled sections) for each of the three statements, year-by-year
• A short source note inside the file that lists where each year’s figures came from and any adjustments you made

I’ll review by checking that totals match across years and that each statement cross-ties. If you can outline upfront how many companies you can cover and the time you’ll need, that will help me lock in the scope quickly.

Skills: Accounting, Excel, Finance, Business Analysis, Financial Analysis, Data Visualization, Data Analysis, Financial Modeling, Data Collection, Data Management

We are seeking a skilled freelancer to analyze projects, perform take-offs, and provide detailed estimates.

All of them renovation projects , sometimes i need fast take off like only floor plan

Pls do not apply if u are new,

Before sign a contract we need to do test projects

I have several spreadsheets that need to be brought into shape. Your main task will be to enter the raw information I supply, then clean and transform it so the final file is consistent, error-free, and ready for analysis. This includes removing duplicates, fixing inconsistent formats, and restructuring columns where necessary.

I will share the source files and clear field-by-field instructions at the start. Once you finish, I expect a polished Excel workbook with every record accurately captured, validated, and neatly organized.

Deliverables:
• Completed Excel file with all data entered
• Full cleanup and transformation applied (no duplicates, correct formats, uniform naming)
• A short change log summarizing the key fixes made

If you are quick, detail-oriented, and comfortable working directly in Excel, I’d love to work with you.

Skills: Visual Basic, Data Processing, Data Entry, Excel, Data Scraping, Data Visualization, Data Analysis, Data Management

need AI support for tasks such as content writing, chatbot development, prompt engineering, data analysis, automation, image generation, and AI-powered research. I am looking for accurate, efficient, and high-quality AI solutions to improve productivity and complete projects effectively.

We are seeking an AI/ML engineer to develop and implement machine learning models for data analysis. The ideal candidate will have experience in data preprocessing, model training, and deployment. Responsibilities include collaborating with data scientists to design and optimize models, ensuring model performance, and integrating models into larger systems. Familiarity with cloud platforms is a plus.

I want to assemble a reliable, fully referenced spreadsheet that maps the funding history and publicly available financials of Indian functional food & beverage startups, specifically those working with probiotics and protein/health-snack products. I need a minimum of 20–30 companies.

Funding rounds must be captured in detail: stage, announcement date, amount raised (both INR and USD), lead and participating investors, plus post-money valuation whenever it is disclosed. Every data point should link back to its original announcement, press release, or database record.

For the financial tab, please pull figures straight from Tofler and note the exact filing link for each year. Record revenue/total income, profit or loss after tax, and EBITDA if it appears in the filings, clearly tagged by financial year.

Deliverables (two-tab spreadsheet):
• “Funding Rounds” – one row per round, one company per sheet section
• “Financials” – each companies own 5 year financial including P&L and Balance sheet

Use a consistent, clean format in Excel or Google Sheets so the database is ready for filtering and pivoting. All sources must be verifiable

Please keep the research current through the project hand-over date and aim to have the complete file to me within Today ( Amount - 1000)

Skills: PHP, Data Entry, Excel, Microsoft Access, Market Research, Data Analysis, Google Sheets, Data Collection, Data Management

I need an experienced public-health professional to strengthen the monitoring and evaluation (M&E) arm of an ongoing Non-Communicable Disease and Immunization program.

Your main mission is to design and run a practical M&E system that lets us see, in near-real time, how well field activities are performing and where we must adapt. This includes developing indicators aligned with WHO guidelines, building simple data-collection tools that field staff can handle on- or offline, and translating raw numbers into clear, decision-ready dashboards and concise narrative reports.

Because implementation relies heavily on community engagement, the M&E framework must track three parallel outreach channels:
• Workshops and seminars
• Social media campaigns
• Door-to-door interactions

Key deliverables
• A full M&E plan with logic model, indicators, data sources, frequencies, and responsibilities
• Field-tested data-collection templates (paper and digital) plus brief user guides
• A baseline snapshot, mid-term dashboard, and final evaluation report with actionable recommendations

Acceptance criteria
• All indicators are SMART and mapped to program objectives for both NCD and immunization components
• Data collection achieves ≥90 % completeness during a two-week pilot run
• Dashboards auto-update from the cleaned dataset using Excel, Power BI, or an agreed open-source tool
• Final report is ready for submission to national and donor partners, written in clear, non-technical English

If you have prior success measuring community-level NCD or vaccine programs—and can start quickly—let’s talk.

Skills: Project Management, Report Writing, Statistical Analysis, Qualitative Research, Data Visualization, Data Analysis, Power BI, Data Collection, Data Management, Public Health

I’m working on a university-level dissertation and need targeted research assistance to complete the data-collection phase and craft a strong, evidence-driven Introduction chapter. If you have experience designing sound data-gathering methods, sourcing reliable academic or field data, and shaping that material into a clear narrative that meets university standards, I’d value your support.

What I need most is:
• A well-structured data-collection plan (surveys, interviews, or secondary sources—whichever best fits the topic)
• The actual collection and organisation of the data in a clean, analysable format
• A concise write-up that feeds directly into the Introduction, highlighting research gaps, objectives, and significance

Accuracy, proper citation, and originality are non-negotiable, and I’m happy to share my proposal, ethical approvals, and any existing literature so you can get up to speed quickly.

Feel free to reach me on +917338974437 to discuss scope, timeline, or any preliminary questions.

#DissertationWriting #DissertationHelp #AcademicWriting #ResearchSupport #ThesisWriting #StudentSupport #HigherEducation #AcademicSuccess #ResearchPaper #UniversityStudents

Skills: Research, Report Writing, Article Writing, Research Writing, Statistical Analysis, Academic Writing, Data Analysis, Data Collection

We operate a growing electronics distribution and retail enterprise (S.P. Distributors / S_MART), and we are looking for an experienced Tally and data automation expert to help us streamline our reporting and strengthen our distribution operations.

Currently, we rely heavily on Tally for inventory, invoicing, and accounting. We want to automate the extraction of regular reports from Tally and build actionable business insights on top of them to improve our supply chain efficiency, stock management, and sales strategies.

Scope of Work
Automated Data Extraction: Set up reliable scripts or integrations to automatically pull sales, purchase, inventory, and ledger reports out of Tally (Tally Prime).

Dashboard & Reporting: Create clean, consolidated views or reports that track key performance indicators (KPIs) such as fast-moving inventory, aging stock, customer payment cycles, and regional sales trends.

Strategic Insights & Recommendations: Analyze our operational data and suggest further automation or analytics ideas tailored to wholesale and retail distribution to help us scale and optimize our workflows.

Key Requirements
Proven experience with Tally Prime, Tally ODBC, TDL (Tally Definition Language), or Tally API integrations.

Strong background in data extraction, ETL workflows, and business intelligence (using tools like Python, Power BI, Excel/VBA, or custom scripts).

Familiarity with wholesale, retail, or electronics distribution business models is a strong plus.

Clear communication and ability to explain technical insights in actionable business terms.

We are seeking a Soccer Data Specialist with a deep understanding of the game and a passion for data-driven research. This role combines soccer expertise with analytical thinking to help build and enhance one of the industry’s most comprehensive soccer data platforms.
You will be responsible for organizing and validating soccer data, identifying key game events, and conducting in-depth analyses to uncover meaningful relationships and trends across large datasets. Your work will directly contribute to the development of our analytics products and research initiatives.

Responsibilities
* Structure, maintain, and continuously improve our soccer data platform.
 * Analyze game data to identify, classify, and validate soccer events and advanced metrics.
 * Perform exploratory and statistical analyses to uncover patterns, correlations, and predictive relationships.
 * Ensure the accuracy, consistency, and integrity of data across multiple competitions and seasons.
 * Translate complex analytical findings into clear, actionable insights.
 * Collaborate with engineering and research teams to improve data quality and develop new analytical capabilities.

Requirements

- Extensive knowledge of global soccer, including major leagues, international competitions, rules, and advanced tactical concepts.
- 3+ years of professional experience using Python for data analysis and data processing.
- Strong SQL skills with experience querying and working with large relational databases. (Required)
- Excellent analytical and problem-solving skills, with the ability to derive meaningful insights from complex datasets.
- Highly independent, self-managed, and comfortable taking ownership of projects from concept to completion.
- Close attention to detail and a commitment to data quality.
- Strong communication skills and the ability to work effectively in a collaborative environment.


What We Offer

- Flexible working hours with a results-oriented culture.
- The opportunity to work at the intersection of soccer, data science, and technology.
- A collaborative, research-driven environment where your expertise will have a direct impact on the development of innovative analytics products.

We are seeking a skilled developer to create a customer account statement report in Microsoft 365 Dynamics. The ideal candidate will have experience in report development and data analysis. Responsibilities include designing and implementing the report, ensuring data accuracy, and collaborating with our team to meet project requirements. Familiarity with Microsoft Excel and customer service is a plus.