Optimize Your Success on Upwork with Data Cleaning Projects

We are a Dubai-based recruitment partner. We need someone to call employment agencies in Uzbekistan, Kyrgyzstan and Tajikistan from a list we provide.
This is not sales. You will work from a prepared script, ask a fixed set of questions, and record the answers in a spreadsheet we provide.
Requirements: — Native Uzbek, Kyrgyz or Tajik, plus fluent Russian — Comfortable making outbound business calls — Your own phone and computer — Available for calls during local business hours
Please include in your proposal:
1. Which languages you speak and at what level
2. Which of the three countries you can call
3. Your experience with phone calls or customer contact
4. Your rate — per hour or per company contacted
5. When you can start
We will begin with a paid test batch of 10–15 companies, then continue with the full list if the quality is good.

VIRTUAL ASSISTANT JOB POST - Lead Gen, Cold Calling, Appointment Setting, Closing
GoHighLevel experience required

Requirements
- Great Fluent English
- Friendly, client facing attitude
- Able to work independently
- Able to work with deadlines

We’re an outbound sales agency seeking a detail-oriented specialist to build and maintain accurate contact lists for multiple client accounts. You’ll use provided ICPs to research companies and contacts, verify data quality, and prepare dial-ready lists in our CRM. The role also includes pulling and formatting CSV data for dialing tools, updating records, and managing workload across several accounts. We’re looking for someone who can work independently, stay organized, and deliver clean, reliable data that supports successful calling campaigns. We use Wiza for list building.

We are looking for a reliable and detail-oriented Data Entry and Virtual Assistant to support our daily business operations. The ideal candidate should be organized, proactive, and able to work independently.

Responsibilities:

Data entry and data management in Google Sheets and Excel
Internet research and data collection
Lead generation and list building
Updating and maintaining CRM records
Copy-pasting and organizing information
Email management and administrative support
Document formatting and file organization
Other virtual assistant tasks as needed

Requirements:

Strong attention to detail
Excellent English communication skills
Experience with Google Sheets, Excel, and online research
Ability to follow instructions and meet deadlines
Previous experience as a Virtual Assistant or Data Entry Specialist is preferred

Preferred Skills:

Lead Generation
LinkedIn Research
CRM Management
Web Research
Data Cleaning and Verification
Microsoft Excel
Google Sheets

I have several datasets coming in from different systems where the numeric fields are stored as plain ASCII files in some cases and UTF-8 exports in others. My goal is to run solid, reproducible data analysis on them, but first they need to be cleaned and standardised.

Here is what I need from you:

• Build a repeatable cleaning pipeline in Python (Pandas, NumPy) that detects the file encoding, converts everything to UTF-8 where necessary, and validates that all numeric columns are truly numeric—no stray characters, misplaced separators, or locale-specific quirks.
• Where the raw files already sit in SQL Server, create T-SQL or Python-based routines that achieve the same checks and corrections in-database so I can schedule them in an Agent job.
• Document each step clearly so I can port the logic later to R or even a small C/C++ utility if performance becomes critical.

Acceptance criteria
– The script ingests a folder full of mixed-encoding files and leaves a clean UTF-8 version plus a detailed log of any corrections made.
– A sample table in SQL Server is fully cleansed using your routine, with before/after counts matching exactly.
– Code is delivered via Git with concise README and in-line comments.

If you are comfortable working with numeric data, encoding issues, and the usual Python + SQL toolkit, I’d love to see how you’d approach this.

Skills: SQL, NumPy, Data Analysis, Pandas

This request is being made by me for a friend. I need someone to file multiple FOIA requests. Some are current and some are in the past. I am currently being held in cook county jail on a non violent charge and I am trying to exonerate my self. The only way I can communicate is through phone calls or through my friend that is posting this for me. Please feel free to contact my friend for further details.

We are looking for an experienced HubSpot CRM & Automation Expert to help us set up, organize, optimize, and automate our HubSpot CRM.

The ideal candidate has hands-on experience with HubSpot CRM setup, CRM optimization, workflows, workflow automation, sales pipelines, custom properties, contact and company management, lead management, lifecycle stages, lead statuses, deal stages, and CRM data organization.

You should be comfortable reviewing an existing HubSpot account, identifying gaps, improving the CRM structure, and building practical automation that reduces manual work and improves our sales and marketing processes.

Experience with HubSpot marketing automation, lead capture, lead nurturing, lead routing, automated tasks, notifications, internal alerts, follow-ups, reporting dashboards.
We are looking for someone who can take ownership of the implementation, troubleshoot existing CRM issues, clean and organize data, improve workflows, and recommend the best way to structure HubSpot around our sales and marketing processes.

Please focus your application on real HubSpot projects you have worked on, particularly CRM setup, workflow automation, integrations, optimization, and sales process implementation, rather than sending a generic list of services.

We’re looking for someone who can become a reliable HubSpot CRM and automation resource.

We need a specialist to research and enrich a B2B email list for a SaaS company targeting enterprise clients. The work includes identifying decision-makers, validating contact details, and improving list accuracy. You should be comfortable working with existing data, cleaning and expanding it, and delivering a reliable, high-quality list for outreach. Experience supporting sales and marketing efforts through accurate contact research is important. Please share relevant examples of similar projects and your approach to maintaining list quality.

Power BI Developer Needed for Consultation, Training & Dashboard Development

I’m looking for an experienced Power BI Developer/Consultant to assist me with learning Power BI and building professional dashboards for my business and customers.

I’m relatively new to Power BI, so I need someone who can teach me step-by-step, provide consultation, and work with me to develop practical dashboards.

Responsibilities:

- Provide Power BI consultation and training.
- Help me understand Power BI fundamentals and best practices.
- Assist with connecting and preparing data.
- Build interactive and professional Power BI dashboards.
- Help develop dashboards for business performance and customer reporting.
- Explain the work clearly so I can maintain and improve the dashboards myself.
- Provide guidance on data modeling, DAX, visualizations, and dashboard design.

Ideal Candidate:

- Strong experience with Power BI, DAX, and data modeling.
- Good communication and teaching skills.
- Experience building business and customer-facing dashboards.
- Patient and able to explain technical concepts to a beginner.
- Available for occasional online sessions and ongoing consultation.

We’re looking for a reliable Lead Researcher to join my agency on a long-term basis.

Your main responsibility will be researching YouTube creators in the B2B sales, outbound, lead generation, AI automation, and agency-growth space and building a clean, accurate prospect list for our outreach campaigns.

What you’ll do

* Research 50 qualified YouTube creator leads per day, Monday–Friday
* Identify creators who:
* Create content around cold email, outbound, lead generation, or sales
* Review or feature tools such as Instantly, Smartlead, lemlist, Apollo, Reply.io, etc.
* Teach people how to start/scale lead generation or SMMA agencies
* Talk about their B2B sales stack or LinkedIn/social selling
* Record the information accurately in our provided spreadsheet/CRM
* Verify that each lead matches our criteria before adding it

Ideal candidate

* Previous experience with lead generation, web research, influencer/creator research, or prospecting
* Very good at finding relevant information online
* Strong attention to detail
* Comfortable working with spreadsheets and structured data
* Able to consistently deliver 50 quality leads/day
* Experience researching YouTube creators is a big plus


This is a long-term opportunity for the right person. We’re starting at 50 leads/day, with potential to increase the workload and responsibilities as we build a strong working relationship.

Please apply with 'LEADS' on cover letter so I know you read the job post.

I am looking for jobs in software engineering roles. I need your help in applying jobs for me.

We need a specialist to build a targeted email list of small businesses in the US and Canada. The work includes researching companies, identifying decision-makers, and organizing contact details into a clean, accurate spreadsheet. You should be able to follow a clear target list, maintain high data quality, and deliver a reliable list for outreach purposes. Experience with small business prospecting and list-building is important for this project.

Job Title: Sage 300 to QuickBooks Online Migration Specialist

We are looking for an experienced accounting system migration specialist to move our company data from Sage 300 to QuickBooks Online.

This is a one-time project. The specialist must have practical experience with both Sage 300 and QuickBooks Online.

Project Scope

• Review our current Sage 300 setup
• Export and clean the required data
• Set up QuickBooks Online correctly
• Import our inventory items and quantities
• Import outstanding Accounts Receivable balances
• Import outstanding Accounts Payable balances
• Set up customers and suppliers
• Set up the Chart of Accounts
• Set up sales tax correctly for Canada
• Set up online customer payments and automatic payment matching where possible
• Recommend a simple CRM solution that works with QuickBooks Online
• Check all imported totals against Sage 300
• Provide basic training after completion

We do not need all historical transactions transferred. Our preferred plan is to transfer inventory information and outstanding balances as of an agreed cut-off date.

Required Experience

• Proven Sage 300 migration experience
• Strong QuickBooks Online experience
• Experience with inventory, A/R and A/P migration
• Canadian accounting and sales-tax knowledge
• Strong data-cleaning and reconciliation skills
• Ability to explain the process clearly in simple English

Deliverables

1. Written migration plan before starting
2. Backup of Sage 300 data before migration
3. Clean and accurate QuickBooks Online setup
4. Reconciliation report confirming that balances match
5. List of any data that could not be transferred
6. Basic training and written instructions

Please Answer These Questions

1. Have you previously migrated data from Sage 300 to QuickBooks Online? Please describe one completed project.
2. How would you transfer inventory, outstanding A/R and outstanding A/P?
3. How would you confirm that the QuickBooks balances match Sage 300?
4. Do you have experience with Canadian sales taxes?
5. What information and access would you need from us?
6. How long would this project take?
7. What is your total estimated project cost?

Please apply only if you have direct experience with Sage 300 and QuickBooks Online migrations.

B2B Lead Generation & Market Research Consultant
Engagement Type: Independent Contractor / Project-Based Consulting
Work Arrangement: Remote / Flexible

About the Engagement
We are looking for an experienced B2B Lead Generation & Market Research Consultant to support our business development activities.
This is an independent contractor, project-based consulting engagement, not an employment position.
The consultant will independently conduct B2B prospect research, lead identification, company research, and market intelligence activities based on mutually agreed project scope and qualification criteria.
The consultant will have discretion over the manner, method, schedule, and location used to complete the agreed deliverables.
Scope of Work
1. B2B Lead Generation
Identify and research potential B2B customers and business partners in areas such as:
Nutraceuticals and dietary supplements
Botanical and herbal ingredients
Functional food ingredients
Health and wellness products
2. Lead Research & Qualification
Research and qualify potential companies based on mutually agreed criteria
Leads may be categorized according to agreed criteria.

3. Market & Competitive Research
Conduct research on:
Target customer segments
Market trends
Competitor activities
Product positioning
Potential customer needs
Ingredient applications
Relevant industry developments
4. Deliverables
Provide lead databases, research findings, and market information in an agreed format, such as:
Excel
Google Sheets
CSV
CRM-compatible files
Other mutually agreed formats
The focus will be on the quality, relevance, accuracy, and completeness of agreed deliverables, rather than fixed working hours.
Preferred Experience
Previous experience in B2B lead generation, market research, business development, or sales research
Experience researching relative companies and decision-makers
Familiarity with nutraceuticals, dietary supplements, botanical ingredients, food ingredients, cosmetics, pharmaceuticals, or related industries is a plus
Strong internet research and information-verification skills
Good written English
Ability to independently organize research and deliver structured information
Experience with LinkedIn, company databases, industry directories, or other legitimate business research resources is a plus
Independent Contractor Structure
This engagement is intended to be performed as an independent contractor / project-based consulting relationship.
The consultant:
May provide services to other clients
Is not required to work exclusively for our company
Determines their own working hours and schedule
Determines their own methods and approach to completing the agreed scope
May perform the services remotely from a location of their choice, subject to applicable law
Generally provides and uses their own computer, software, and other ordinary business tools
Is responsible for their own applicable taxes, licenses, registrations, insurance, and ordinary business expenses
Will not receive employee benefits
Is responsible for complying with applicable laws and regulations relating to their independent business activities
Our company will define the project scope, research objectives, qualification criteria, and agreed deliverables, but will not control the consultant’s day-to-day working hours or methods.
Data & Research Compliance
All research must be conducted through lawful and legitimate business research methods.
The consultant must not:
Access systems or databases without authorization
Misrepresent their identity or affiliation
Obtain confidential information through deceptive means
Violate applicable privacy or data-protection laws
Circumvent website access restrictions
Use information in violation of applicable website or platform terms
Business contact information should be obtained only through lawful and appropriate sources.
Confidentiality
The consultant may have access to confidential business information relating to our company, products, customers, suppliers, pricing, technology, and business strategy.
Confidential information must be protected and may not be disclosed or used for purposes outside the agreed engagement.
A separate confidentiality / independent contractor agreement may be required.
How to Apply
Please provide:
1.A brief description of your B2B lead generation / market research experience
2.Examples of relevant industries or markets you have researched
3.Your experience researching relative companies
4.Your preferred compensation structure and rate
5.A brief example of how you would identify and qualify potential customers for a nutrition / health ingredient supplier
We are particularly interested in consultants who can demonstrate high-quality B2B research, accurate lead qualification, and strong understanding of the supplement/nutraceutical market.
Note: This posting describes an intended independent-contractor engagement. The actual legal classification of any engagement depends on the applicable law and the actual working relationship between the parties.

I need a detail-oriented virtual assistant to manually look up and record the Zestimate (Zillow's estimated value) for a list of ~5,000 residential property addresses in Arizona.

The task:

You'll be given an Excel file with addresses pre-filled in Column A
For each address, search it on Zillow.com, find the property, and record:
The current Zestimate value (Column B)
The direct Zillow listing URL (Column C)
Date pulled (Column D)
Some addresses may not have a Zillow listing or a Zestimate available — mark these clearly as "Not Found" rather than skipping the row

Important — manual work only:
This must be done by hand, one address at a time, through the regular Zillow website. No scrapers, bots, browser extensions, automation tools, or AI tools of any kind may be used to pull this data. Zillow actively detects and blocks automated/bulk lookups, and using any automated method will get the data flagged as unreliable and will end the contract immediately. If you're not able or willing to do this manually, please don't apply.

What I'm looking for:

Prior data entry or research experience, ideally with real estate, property data, or similar lookup-based tasks
Comfortable navigating Zillow and working in Microsoft Excel
Careful and accurate over fast — I will be spot-checking a sample of entries against live Zillow listings, so please only submit verified values, not estimates, guesses, or automated output
Reliable communication — quick responses to questions during the project

How this will work:

This will be an hourly contract
We'll start with a small paid trial batch (100-150 addresses) to confirm speed, accuracy, and fit before moving to the full list
If the trial goes well, I'll extend the contract to complete the remaining ~4,850 addresses

To apply: Please confirm you understand this is manual, non-automated work, share any past experience with data entry or real estate research, and let me know your available hours per day/week.

We need a freelanceer web-scraping specialist to extract product information from a website and organize the information into a clean spreadsheet. This is a short-term project for someone who can complete the task efficiently and reliably.

The following information is required for each product:

Product name/title
Product category
Product description
Product specifications or features
Price, if available
All available product images in the highest resolution

Deliverables:

Product data organized accurately in an Excel or CSV file
Images downloaded into clearly labeled folders
Each image filename matched to the correct product or SKU
No duplicate products or images
Clean formatting and complete, accurate data
A brief summary of any missing or inaccessible information

The freelancer must have experience with web scraping, product catalogs, data cleaning, and bulk image downloading. Please explain which tools you will use and provide examples of similar projects.

We are a growing recruitment agency looking for a detail-oriented, proactive Virtual Assistant to join our team. Your primary focus will be talent sourcing and outreach, helping us identify top candidates and book screening calls.

Key Responsibilities

-Candidate Recruitment Sourcing & List Building: Search platforms like LinkedIn Sales Navigator/Recruiter, ContactOut, ZipRecruiter, general job boards, websites, and Google Maps to find candidates matching specific role requirements for location, experience, etc.
-List Cleaning: Clean, organize and prepare lists
-Outreach Execution: Manage email sequences via Instantly and send LinkedIn messages on behalf of the agency using our accounts.
-Scheduling: Obtain resumes and coordinate responses from interested candidates and book initial phone screenings directly onto our calendar using provided scheduling links.
-Client/Business Development Sourcing: Periodically build lists of target employers and potential business development leads using a similar sourcing process.
-Record interactions and initial messages in company CRM
-Other occasional tasks such as data cleaning, email management, etc.

Requirements & Preferred Qualifications
-Strong organization, communication, and web research skills.
-Experience with recruiting, talent sourcing, or cold outreach messaging is preferred.
-Experience with LinkedIn Sales Navigator, Instantly, and ContactOut is highly preferred.
-Access to ZipRecruiter or other job board accounts for list building is a major plus.
-Self-starter capable of managing tasks efficiently in a remote setting.
-Ability to be trained using videos and SOPs

Job Details
-Hours: Full-Time (40 hours/week)
-Pay Rate: $5.00 / hour

I have a sizeable Excel spreadsheet filled with mixed text and numeric fields that now needs a thorough clean-up before it can be analysed with confidence. The work involves removing duplicates, correcting obvious entry errors, standardising formats (dates, currencies, phone numbers), and applying clear filters so the file can be sliced and queried without glitches. Once everything is tidy I’d also like a brief sanity-check analysis—pivot tables or simple summaries are fine—so we can confirm the dataset’s integrity.

Deliverables
• A fully cleaned, consistently formatted .xlsx file with working filters
• A short change log or note that flags the main issues you fixed and any assumptions you made
• A quick analytical snapshot (pivot tables or similar) proving the data holds together

Please centre your proposal on your experience handling mixed-data cleans in Excel—feel free to mention any Power Query, advanced formulas, or VBA techniques you typically use. I’m ready to move fast and will share the file as soon as I select the right freelancer.

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

I run an education media platform in the UAE and need a private, in-house database of all K–12 private schools in the country, with key contacts at each school. I have chosen Airtable. The data currently sits in several spreadsheets, my phone contacts and notes, and needs to be consolidated into one properly structured base that I and one or two colleagues will maintain going forward.

I have never built an Airtable base before, so I need someone who can set it up properly, import and clean my existing data, and hand it over in a way a non-technical team can run.

Scope of work

Build an Airtable base with two linked tables:
Schools — name, Emirate, area, curriculum (multi-select), phases, annual fee range in AED (min/max plus fee band), regulator (KHDA/ADEK/SPEA/MOE), latest inspection rating, group/operator, website, status, opening year, last verified, source, notes
Contacts — name, role (Principal, Admissions Manager, Marketing Manager, other), linked school, email, phone, LinkedIn, last verified, notes

You will advise on field types

Clean, deduplicate and merge my existing spreadsheets (roughly [X] files) and import them, linking contacts to the correct schools.

Seed the Schools table from publicly available regulator school lists (KHDA open data, ADEK, SPEA, MOE) so every UAE private school is present, even where we do not yet have contacts.

Create saved views: by Emirate, by curriculum, by fee band, "needs verifying" (sorted by last verified date), and "missing contact" views.

Set up an Airtable form so helpers can submit or update records without full access to the base.

Configure user permissions (owner, editors, read-only viewers) and confirm the mobile app works for on-the-go updates.


Requirements

Proven Airtable experience (please link to or describe bases you have built, especially CRM or directory-style ones)

Strong data cleaning skills (Excel/Google Sheets or scripting)

Familiarity with the UAE or GCC education sector is a plus but not essential

Clear written English and the ability to explain things to a non-technical user

Confidentiality — please read before applying

The database contains the names and contact details of school staff. This data is confidential and must not be copied, retained, shared or reused in any form.

You will sign an NDA before receiving any files. All work will be done inside my own Airtable workspace, which I own; you will be invited as an editor for the duration of the project and removed on completion. Applications that do not acknowledge this will not be considered.

Timeline

I would like the base set up and the initial import completed within 1 week.

To apply

Please include: (1) an example of a similar Airtable build, (2) a brief outline of how you would approach the data cleaning and import, and (3) your estimated hours. Please start your proposal with the word "Chalkboard" so I know you have read the full brief.

I need help scrubbing, organizing, and accessing a large list of permit data that we are collecting for an outreach campaign. The list will have several million records, so I would like to implement best practices to make accessing the records simple and efficient.

We're looking for a virtual assistant to help with data scraping details on renovation business owners, for us to use for cold calling.

The full role will be 80 leads/day, 5 days a week

Training will be provided if you are inexperienced, and we will start off with a trial of 4 candidates, who will provide 1 hours work, for us to examine.

The trial will be 1 hour a day, to see how many leads you can provide and the qualifty of said leads etc. Each trialist will be given a different location to prevent any lead overlap.

Quality is most important.

Our qualification criteria:
Correct Industry/Service (that the lead offers)
Mobile Number provided (In UK they start with 07 so easy to recognise. We don't want landline numbers [01-04])
Company Name
Company Website

And of course, make sure all data is accurate (which is most important! We don't want duplicated leads or leads that aren't in our desired industry).

We will give a detailed examples of the type of leads we are looking for, how we like our data to be formatted etc..

Trialists will be picked today, and work will start today/tomorrow

If there are any enquiries about pay structure/processes etc. still apply, and provided the quality is there, we can negotiate if needed. Our priority is quality and reliability. I do not want to have to check behind you to ensure quality of leads

Projects are based on using AI to get data from various websites that we have permission to use into a CSV and ensure that all the data has been processed and is correct.

Description:

About the Role

We're looking for an experienced Rust developer with a strong background in algorithm design and data science to join our team. You'll work on performance-critical systems where correctness, speed, and clean architecture matter.

Responsibilities
Design, implement, and optimize algorithms in Rust for data-intensive workloads
Build and maintain high-performance data processing pipelines
Analyze large datasets and implement statistical/ML-adjacent models where needed
Write idiomatic, safe, and well-tested Rust code
Profile and optimize for speed and memory efficiency
Collaborate on system design and architecture decisions
Document code and technical decisions clearly
Requirements
Proven professional experience with Rust (production codebases, not just side projects)
Strong grasp of algorithms and data structures (complexity analysis, optimization trade-offs)
Experience with data science workflows: data cleaning, statistical analysis, model implementation
Comfortable with concurrency and async programming in Rust (tokio or similar)
Familiarity with numerical/data crates (e.g., ndarray, polars, nalgebra) is a plus
Solid understanding of performance profiling and benchmarking
Good written communication — able to explain technical trade-offs clearly
Nice to Have
Experience with financial data, trading systems, or blockchain/DEX-related work
Python experience for prototyping or interop
Background in machine learning or quantitative research
Open-source Rust contributions
What We're Looking For

Someone who thinks in terms of correctness and performance simultaneously — not just "does it work" but "is this the right algorithm and the right data structure for the job." We value clear communication and a track record of shipping real, working systems over credentials alone.

To Apply

Please include:

A brief note on relevant Rust + algorithms/data science experience
Links to relevant repos, projects, or past work
Your availability and rate expectations

Want me to tweak the tone (more formal/corporate vs. casual startup vibe), adjust the seniority level, or tailor it for a specific platform like Upwork or a job board posting format?

Skills: Data Processing, Algorithm, Statistical Analysis, Data Science, Rust

I'm seeking an efficient freelyhancer for a data cleaning project. The t vask will involve thorough cleaning of data derived from spreadsheets.

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Skills: Data Processing, Data Entry, Excel, Data Mining, Analytics

Hello,

My colleague Kreg Moccia, referred me and he mentioned that you do great work. I am attending a number of conferences in the coming months, and I'd like your help with the development of a lead list, but it's a bit of an unusual ask. I have some video files that contain the Name, Job Title, and Company name of about 5500 attendees for a conference I am going to, and I need help putting all of their information into a google sheet.

If this is something you are able to do, I might have a bunch more jobs coming for you in the next few months, as I will be attending more of these conferences.

I have a very quick turnaround for when I will need these lists - and I am willing to pay extra for you to expedite this task in the next day or two.

Please let me know and thank you in advance!

-Kamran

I have several bank statements saved as PDFs where each transaction is presented line-by-line. I need a small utility that can read those files, pull out every transaction, and insert the information into an SQLite database.

The essential fields are the date, description and amount shown on each line; if a running balance is available it would be great to capture that as well. Accurate numeric handling is critical—please strip currency symbols, recognise minus signs or debit/credit markers, and make sure amounts are stored as real numbers rather than text.

I use macOS but a cross-platform command-line solution is ideal. Python with pdfplumber / PyPDF2, pandas and the built-in sqlite3 module would suit me perfectly, though I’m open to another stack if you clearly outline the advantages.

Deliverables
• Well-documented source code for the parser
• SQLite schema (single table is fine) and a sample database produced from one of my PDFs
• Simple run instructions so I can feed in new statements whenever I need
• A brief log or report highlighting any rows that could not be parsed cleanly or looked suspicious

If you can build in light data cleaning—trimming whitespace, removing duplicates, flagging malformed dates—that will be a plus. Let me know your expected timeframe and a short outline of how you plan to tackle the extraction when you place your bid.

Skills: Python, Data Processing, Software Architecture, Database Programming, SQLite, Data Extraction, Documentation, Database Design

Top-rated online Gallery is looking for an Ecommerce Operations Manager to oversee the operational flow between Customer Service, marketplaces, fulfillment systems, 3PL facilities, production, and company management.

The Operations Manager will be responsible for making sure operational issues are identified, prioritized, resolved, and prevented from repeating.

This is a hands-on e-commerce operations role, not a Data Analyst position.

Responsibilities
The Operations Manager will be responsible for the operational performance of Customer Service while working closely with the existing Customer Service Manager.
The Customer Service Manager will continue to manage the CS team and supervisors.

The Operations Manager will:
Work with the CS Manager to improve CS statistics, processes, policies, and workflows.
Review CS performance, customer satisfaction, escalations, refund trends, and recurring customer issues.
Help identify operational problems affecting Customer Service.
Connect Customer Service with company management and communicate important trends, risks, and improvement opportunities.
Work with management and the CS Manager on operational priorities and process changes.
Make sure decisions made by management are implemented correctly within Customer Service.
Help turn recurring customer problems into operational improvements.
The Operations Manager will personally manage refunds and returns within the company's existing system.

Responsibilities include:

Process full and partial refunds.
Process marketplace refunds.
Review unusual or higher-value refund cases.
Verify that refunds and replacements are handled correctly.
Make sure returns are properly tracked and completed.
Coordinate return labels when required.
Make sure returned inventory does not remain unprocessed at the 3PL facility.
Ensure returned products are classified for resale, discount sale, internal use, claims, donation, recycling, or disposal.
Identify unnecessary refunds and financial leakage.

Marketplace Operations

Monitor marketplace order flow.
Identify and resolve orders that fail to sync.
Handle marketplace refunds, returns, cancellations, tracking issues, and operational cases.
Monitor marketplace SLAs and fulfillment-related account-health issues.
Coordinate marketplace issues with CS, Development, Production, and management.
Make sure marketplace problems are resolved before they affect customers whenever possible.

Order & Fulfillment Exceptions

Monitor delayed, stuck, missing, or incorrect orders.
Resolve integration and order-flow problems.
Handle unusual order holds, customer changes, and custom-order issues.
Monitor fulfillment exceptions and coordinate with production.
Follow critical exceptions until resolution.

Replacement Orders

Replacement-order creation and processing are primarily automated. The Operations Manager is responsible for making sure the automated replacement process works correctly and for handling exceptions. This includes:
Monitor replacement orders that become stuck or delayed.
Verify that replacement orders successfully reach production.
Escalate urgent replacement cases.
Identify failures in the automated process.
Prevent unnecessary refund-plus-replacement situations.
Process Improvement & Automation
Identify recurring operational problems.
Improve workflows between CS, marketplaces, production, 3PL, and internal systems.
Define requirements for reports, alerts, and automations.
Work with BI, Development, and automation resources to reduce manual work.
Make sure new operational processes are actually implemented and maintained.

Data Skills

The Operations Manager should be comfortable using Excel, reports, dashboards, pivots, filters, and basic formulas.The role requires strong practical use of data but does not require advanced statistical analysis, complex data cleaning, SQL, BI development, or sophisticated Excel modeling.
Ideal Candidate
We are looking for someone who is:
Hands-on.
Highly organized.
Strong at prioritization.
Comfortable with ecommerce systems.
Customer-focused and commercially aware.
Comfortable working across multiple departments.
Able to take ownership of operational problems from discovery through resolution.
Comfortable working with data without being a dedicated Data Analyst.

I am looking for an experienced **Python automation / full-stack developer** to build a private, reusable system for automated higher-education contact research and Gmail outreach.

This is a **one-time software development project**. The goal is to have the system built, tested, deployed, documented, and handed over so it can operate independently on an ongoing basis after completion.

The application should automatically identify relevant academic decision-makers from publicly available college and university webpages, such as deans, department chairs, program directors, and similar academic leaders. Target job titles and academic disciplines should be configurable.

For each contact, the system should collect and maintain information such as:

* Institution
* Contact name
* Title
* Department/program
* Professional email address
* Source webpage
* Date discovered
* Contact/outreach status

A major requirement is **duplicate prevention and exclusion management**. The application must maintain a historical database and automatically check whether an institution, individual, email address, or department has already been contacted or should not be contacted before outreach occurs.

The system should support configurable statuses such as blocked, do not contact, previously contacted, cooldown, invalid contact, and eligible for outreach.

The application should integrate with an existing dedicated Gmail account using Google OAuth/Gmail API. For qualified contacts, it should be capable of automatically:

* Creating a personalized email
* Selecting an appropriate editable template
* Inserting contact/institution information
* Attaching a CV/resume
* Sending the email through Gmail
* Recording when and to whom the email was sent

The expected volume is relatively low and highly targeted, approximately **30–50 emails per month**, typically around 1–2 messages per day. This is not a bulk-email or mass-marketing system.

The system should also include configurable safeguards such as:

* Maximum emails per day/month
* Cooldown periods
* Maximum contacts per institution or department
* Confidence threshold for automatic sending
* Ability to pause automated sending
* A “Needs Review” queue for questionable or duplicate contacts

I would also like a simple private administrative dashboard where an authorized user can:

* Review/search contacts and institutions
* Correct contact information
* Add or remove exclusions
* Mark duplicates
* Modify target titles/disciplines
* Edit email templates
* Change automation settings
* View outreach history
* Export the contact database/history to Excel or CSV

The contact-discovery and outreach process should be capable of running automatically on a configurable schedule.

The system should be built as a maintainable application rather than a one-time scraping script.

I am open to recommendations regarding the technology stack, but experience with the following would be helpful:

* Python
* Web scraping/data extraction
* BeautifulSoup, Scrapy, Playwright, or similar
* Databases
* Gmail API / Google OAuth
* Scheduled/background automation
* Web-based admin dashboards
* Data cleaning and deduplication
* Excel/CSV export

### Important Handoff Requirement

This system must continue operating after the development engagement ends.

At completion, I will need:

* Complete source code
* Database/schema
* Deployment/configuration files
* Administrator access
* Installation/deployment documentation
* User documentation
* Gmail/API configuration instructions
* Backup/recovery instructions
* A list of any third-party services or recurring costs

The completed system should **not depend on the developer’s personal accounts, servers, API keys, or subscriptions after handoff**.

Please include in your proposal:

1. How you would approach the project technically.
2. Examples of similar automation, scraping, CRM, or Gmail API projects you have completed.
3. Your recommended technology stack.
4. How you would handle the fact that college/university websites have different structures.
5. How you would prevent duplicate contacts and duplicate outreach over time.
6. Any third-party services or recurring costs you anticipate.
7. Confirmation that all source code and documentation will be provided at handoff.
8. Your proposed fixed-price cost and milestone structure.

I am specifically seeking a developer to **build and hand over the completed automation system**, not an ongoing lead-generation or email-management service.

We are a commercial real estate investment and brokerage company focused on industrial properties and industrial land.

We are looking for an experienced Industrial Property Research & Parcel Mapping & Data Mining Specialist who can help us build a powerful database of direct owner contact information.

This is not simply a data-entry position.

The ideal candidate must be capable of starting with zoning maps and parcel data, identifying industrial-zoned parcels, creating a database with addresses and true owner contact information.

Our goal is to find someone who can eventually become a long-term employee and an important part of our acquisitions team.

1. Identify Industrial-Zoned Parcels Using Zoning Maps
The first step in our process is not simply searching for properties listed as "industrial" in a commercial real estate database.

Instead you will be responsible for researching the applicable county and municipal zoning maps and identifying parcels that fall within industrial zoning classifications.

The objective is to identify the parcels based on zoning-not simply based on whether a property currently appears in a commercial real estate database.

This is important because our strategy includes identifying off-market industrial properties and industrial land that may not be actively marketed for sale.

2. Build the Industrial Parcel Database
Once industrial-zoned parcels have been identified, you will build a comprehensive database containing information such as:
a. Parcel Number / APN
b. Property Address
c. Zoning Classification
d. Building SF, if applicable
e. Acreage
f. Property Type
g. Existing Use
h. Owner Entity
i. Owner Name
j. Mailing Address
k. Owner-Occupied vs. Tenant-Occupied
l. Additional Relevant Property Information

We want to create a database of industrial-zoned real estate.

3. Identify the True Property Owner
For each parcel, you will research and identify the actual owner.

This may require going beyond the name shown in a county assessment database.

You should be comfortable researching:
a. LLC Ownership
b. Corporate Ownership
c. Partnerships
d. Holding Companies
e. Registered Agents
f. Related Entities
g. Individuals behind LLCs
h. Secretary of State records
i. Business Registrations
j. Public Records
k. Other Legitimate research database

We want to know who actually controls the property and who the appropriate decision-maker is.

4. Skip Trace The Owner / Decision Maker

For each property owner, we want to obtain as much accurate contact information as possible, including:

a. Full name
b. Approximate age or age range
c. Phone number
d. Mobile phone number, when available
e. Email address
f. Mailing address
g. Company/entity name
h. Relationship between the individual and ownership entity

If the property is owned by an LLC or corporation, you should make a reasonable effort to identify the individual behind the ownership entity.

5. Determine Owner-Occupied vs. Tenant-Occupied

We also want to determine whether the property is:

Owner-occupied

Tenant-occupied

Vacant

or another applicable category.

Research should attempt to determine:

a. Who operates at the property
b. Whether the owner operates a business there
c. Whether the property is leased
d. Whether there are multiple tenants
e. Whether the property appears vacant
f. Whether the owner occupies only a portion of the property

This information is particularly important for identifying potential owner-user acquisition opportunities.

6. Accuracy Is More Important Than Volume

We are much more interested in accurate, verified research than simply producing a large number of records.

For example:

A list of 1,000 parcels with incorrect ownership and contact information is not useful to us.

A list of 300 properly researched industrial parcels with accurate ownership, verified contact information, zoning information, and useful notes is significantly more valuable.

We expect you to:

a. Cross-reference multiple sources
b. Verify ownership
c. Verify contact information whenever possible
d. Avoid duplicate parcels
e. Properly associate multiple parcels with common ownership
f. Identify the true decision-maker behind LLCs
g. Document relevant research
h. Flag information that cannot be verified

7. Example Workflow

A typical assignment may look like this:

Step 1: We give you a county.

Step 2: You locate the county/municipal zoning maps and GIS parcel data.

Step 3: You identify every parcel falling within the applicable industrial zoning classifications.

Step 4: You compile the parcel numbers and property information.

Step 5: You research ownership for each parcel.

Step 6: You determine whether multiple parcels are controlled by the same owner.

Step 7: You identify the actual individual decision-maker behind the ownership entity.

Step 8: You skip trace the owner for phone and email information.

Step 9: You determine whether the property appears owner-occupied, tenant-occupied, or vacant.

Step 10: You enter the information into our database in a standardized format.

Step 11: You flag particularly interesting acquisition prospects for additional review.

Required Skills

The ideal candidate will have experience with:

GIS mapping
Zoning maps
Parcel research
Property research
Commercial real estate
Skip tracing
Data mining
Public records research
LLC/entity research
Ownership research
Phone and email research
Excel / Google Sheets
Database management

Experience with QGIS or ArcGIS is highly desirable.

Experience with commercial real estate and property databases such as CoStar, Reonomy, Crexi, county GIS systems, county assessment databases, and Secretary of State databases is a major plus.

8. Application Questions

Please answer the following questions in your proposal:

What experience do you have with GIS, zoning maps, and parcel research?
Have you ever used a county GIS system to identify parcels based on zoning?
What experience do you have with QGIS or ArcGIS?
Have you ever built a database of every parcel within a particular zoning classification?
What skip-tracing databases and tools do you use?
How do you identify the individual behind an LLC that owns real estate?
How do you verify that a phone number and email address belong to the correct owner?
Have you worked with commercial/industrial real estate data before?
What is your process for handling properties consisting of multiple parcels?
Provide an example of a difficult property ownership or skip-tracing assignment you completed.
Approximately how many accurately researched parcels can you process per day?
Are you interested in eventually transitioning from Upwork into a long-term position with our company?

9. Long-Term Opportunity

Our goal is to build a proprietary system for identifying every potential industrial real estate opportunity within our target markets, regardless of whether the property is currently listed for sale.

The person we hire will have the opportunity to become a key part of our industrial acquisitions and lead-generation operation.

We are looking for someone who wants to develop this into a long-term role and eventually take significant ownership of the research and data-mining process.

We are a B2B exhibitions company, and we want to find a freelancer who can help to generate targeted lists of names/location/emails/phone numbers/job position/company. We already use apollo and LinkedIn Sales Nav extensively, so we want you to use OTHER SOURCES ONLY to develop your list. If you are able to do this, and the quality of the list is good, then this can be a long term and extensive project.
For now, we want to do a small project with a set budget of USD200 to test the quality of your list. If you are happy to go ahead with the test, please let me know what you think you can achieve with this budget, I'll then tell you the target audience and we can get started!

We are looking for an experienced Data Scientist to join our team and work on data-driven projects involving machine learning, predictive analytics, and advanced data analysis.

3+ years of professional experience in Data Science or a related field.

The ideal candidate should have strong experience working with Python, statistical analysis, machine learning models, and real-world datasets. You should be comfortable transforming raw data into meaningful insights and developing reliable predictive solutions.

Candidates must have strong English communication skills due to client facing work.

Key Responsibilities:

• Analyze and interpret complex datasets to identify meaningful patterns, trends, and insights.
• Clean, preprocess, and transform structured and unstructured data.
• Develop and evaluate machine learning and predictive models.
• Perform statistical analysis and exploratory data analysis.
• Build data-driven solutions using Python and relevant data science libraries.
• Develop classification, regression, clustering, and forecasting models when required.
• Perform feature engineering and model optimization.
• Create data visualizations, reports, and dashboards to communicate findings.
• Work with SQL databases and extract data for analysis.
• Evaluate model performance and improve accuracy, reliability, and scalability.
• Collaborate with developers, analysts, and project stakeholders.
• Document analysis, methodologies, models, and results clearly.

Requirements:

• 3+ years of professional experience in Data Science or a related field.
• Strong proficiency in Python.
• Strong understanding of machine learning concepts and algorithms.
• Experience with data analysis, statistical modeling, and predictive analytics.
• Experience with libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib or similar tools.
• Strong SQL and database knowledge.
• Experience with data cleaning, preprocessing, feature engineering, and model evaluation.
• Strong analytical and problem-solving skills.
• Good English communication skills.
• Ability to work independently and collaborate effectively with a technical team.

Preferred Qualifications:

• Experience with TensorFlow or PyTorch.
• Experience with deep learning or Generative AI.
• Experience with NLP or computer vision.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with data visualization tools such as Power BI or Tableau.
• Experience working with large datasets and scalable data pipelines.

If you have strong experience building practical machine learning and data science solutions, please share relevant projects, GitHub repositories, portfolio links, or examples of your previous work with your proposal.