Discover Data Mining Projects on Upwork

Api integration of 1 app see everything and resolve it

Procedure:
1 – Review the document and check address.
2 – Take 7-8 Geotagged site visit pictures of the IA with different angles (Gate and Signage of the IA must be visible)
3 – Submit the documents to the relevant person (HR/Admin/Exam depart/HOD/Receptionist/Owner/Head/Manager etc.)
4 – Ask the verifier to provide us verification by filling out the form or if they refuse ask them to provide us verification on official letter head or as per the institute’s policy.
5 – Note down the Verifier Details and ask for business card.
6 – Fill out the Site visit form.
7 - Written/Recorded Refusal statement in case of refusal.

Skills: Photography, Data Processing, Data Entry, Powerpoint, Word, Photo Editing, Data Mining, Database Administration, Documentation, Local Job

I need a reliable data-scraper who can pull clean, non-spam-flagged email addresses for companies in my local market. All addresses should be sourced directly from company websites, their social media profiles, and reputable business directories—nothing scraped from questionable lists.

Please structure the results in a single Excel spreadsheet so my team can sort and filter with ease. At minimum, every row must include a working email address; if you happen to capture basic contact details (company name, phone, street address) while you work, feel free to include those in adjacent columns, but the email is the critical field.

Before delivery, validate each address to avoid hard bounces or obvious spam traps. Any toolset is fine—Python, Scrapy, Hunter, NeverBounce, or similar—so long as the final file opens smoothly in Excel and every address you provide passes a quick test send.

I’ll review by spot-checking twenty random entries: if they bounce or reach role-based accounts that commonly trigger filters (info@, sales@, support@), I’ll ask for replacements. Let me know how quickly you can complete the initial batch and how many verified addresses you estimate you can supply.

Skills: Python, Excel, Web Scraping, Data Mining, Email Marketing, Scrapy, Data Scraping, Data Collection

B2B Lead Builder – LinkedIn & Instagram with Verified Emails

I am looking for an experienced B2B lead builder to deliver high quality, ICP-matched leads on a rolling weekly basis.
Deliverables every week:

750 LinkedIn leads — B2B service providers
500 Instagram leads — product founders

Total: 1,250 leads per week

Delivered every Sunday by end of day
Verified emails included on every lead
Bounce rate must be under 2%
Delivered in a clean CSV with verification status shown

ICP criteria will be provided on hiring.
Requirements:

Proven experience in B2B lead generation
Uses verified email tools (NeverBounce, ZeroBounce, Hunter or similar)

Responsive — fast communication is essential

Available on Slack or WhatsApp during working hours
Reliable and consistent Sunday delivery without chasing
References or examples of previous lead lists required

We are seeking a skilled freelancer to assist with AI-related tasks, translation, transcription, and data entry. The ideal candidate will have experience in delivering high-quality work remotely and be proficient in English. Responsibilities include managing AI tasks, translating documents, transcribing audio files, and performing data entry tasks efficiently. Attention to detail and the ability to meet deadlines are essential.

We are seeking an experienced healthcare lead generation specialist to identify and research independent primary care clinics across the United States that may be interested in expanding specialty services.

**Compensation**
Competitive hourly pay based on experience, plus performance bonuses for qualified clinic leads, verified decision-maker contacts, and meetings scheduled with prospective clients. Strong performers will have the opportunity for ongoing work and increased earning potential.

**Responsibilities**

* Build targeted prospect lists of primary care clinics, family medicine practices, internal medicine groups, FQHCs, and rural health clinics
* Identify key decision makers such as Practice Administrators, Clinic Managers, Medical Directors, and Physician Owners
* Collect verified contact information including direct emails, phone numbers, LinkedIn profiles, and clinic websites
* Research clinic size, locations, provider count, ownership structure, and growth indicators
* Organize leads in spreadsheets or CRM systems with accurate and complete data

**Preferred Experience**

* Healthcare lead generation
* LinkedIn Sales Navigator, Apollo, ZoomInfo, Clay, or similar tools
* B2B prospecting and contact verification
* Experience working with medical practices or healthcare organizations

We are seeking a detail-oriented freelancer to assist in collecting lead list data for our growing business. Your primary role will involve researching and compiling information on potential clients within research in physical activity.
Ideal candidates should have experience in data gathering and a keen eye for detail. If you can efficiently gather and organize data in a clear format, we want to hear from you!

We have 1 sheet with 330 contacts and we need their emails. We have a number of the emails, so it might only be around 280 emails that need to be collected.

**This is a quick task that we need latest by Wednesday 17 June in the morning Central Europe Standard Time.**

We are a Top-3 global brand in the premium consumer entertainment and collectibles industry (operating offices across Ireland, Japan, Kuwait, and Jordan). We are currently executing a highly structured $4M–$8M dual-track capital raise (Asset-Based Lending and Strategic Equity) to fund a global supply chain pivot.

We have secured enterprise access to Dealroom.co and are looking for a freelance Deal Sourcer / Private Equity Analyst to mine the platform, build our target pipeline, and identify the exact decision-makers we need to pitch.

You are NOT a generic web scraper or lead-generation VA. You must have a background in corporate finance, venture capital, M&A, or investment banking. You must understand the difference between an Asset-Based Lender, a Family Office, and a middle-market Buyout PE fund.

Your Deliverables:

Target Identification: Utilize our Dealroom access to filter and map European, UK, and Asian cross-border funds that specifically mandate investments in consumer goods, retail turnarounds, physical inventory, and entertainment IP.

Data Enrichment: Identify the specific Managing Partners, Investment Directors, or Heads of Origination who handle consumer/retail deals at these funds. Procure their verified email addresses and LinkedIn profiles.

Pipeline Construction: Build a pristine, structured CRM tracker (Excel/Google Sheets) categorizing targets into Tier 1 (Strategic Equity/Family Offices) and Tier 2 (ABL/Debt funds). Include data on their check sizes and recent comparable investments.

Required Experience:

Proven experience working as an analyst for a VC, PE firm, boutique investment bank, or corporate advisory.

Deep familiarity navigating Dealroom, PitchBook, or Crunchbase.

Flawless English and elite attention to detail.

• Have you ever used Dealroom.com?
• If Dealroom only provides the general info for a Private Equity fund, what specific tools and workflow will you use to identify the exact Partner who handles consumer goods and verify their direct email address?
• Describe your recent experience with similar projects
• Please list any certifications related to this project
• How will you suggest improvements if you disagree with an existing process?

I am looking for an experienced recruiter, executive search professional, talent partner, or business development specialist to help identify and secure senior leadership opportunities for me.

What I Need

I am looking for someone who can proactively identify and generate opportunities, including:

* CTO roles
* Chief Product Officer (CPO) roles
* VP Engineering roles
* VP Product roles
* Chief AI Officer roles
* Fractional CTO opportunities
* Venture Studio roles
* Venture Capital Operating Partner opportunities

Target Markets

Priority:

* UAE / Dubai
* Saudi Arabia
* United Kingdom
* Europe
* North America

Responsibilities

* Research and identify relevant companies and opportunities
* Build target lists of startups, scale-ups, venture-backed companies, and executive recruiters
* Reach out directly to founders, investors, and hiring managers
* Secure introductions and meetings
* Apply to relevant executive positions where appropriate
* Manage outreach activity and reporting
* Recommend networking and positioning opportunities

Ideal Candidate

* Experience recruiting executive or leadership positions
* Existing network within startups, venture capital, private equity, or technology companies
* Strong LinkedIn sourcing and outreach skills
* Experience working with CTO, VP Engineering, CPO, or technology leadership searches
* Strong written English

Compensation

Open to:

* Hourly
* Monthly retainer
* Success-based structure
* Hybrid retainer + success fee

When applying, please include:

1. Your experience placing CTO, CPO, VP Engineering, or executive candidates
2. Relevant success stories
3. Your proposed approach for generating opportunities
4. Whether you have experience with UAE, UK, or venture-backed companies

Looking for an experienced data extraction or web scraping specialist to collect all listing items from a directory and organize the results into a clean Excel spreadsheet.

Target site:
https://lights4less.com.au/collections/sal-lighting

In your proposal add:
1. Your strategy
2. Quote with ETD
3. Sample data

The final deliverable should be a well-structured Excel file with clean columns, accurate data, and no duplicates where possible.

• Describe your recent experience with similar projects
• What techniques would you use to clean a data set?
• What tools do you use for data mining and visualization?

Looking for an n8n automation expert to build an AI-powered lead qualification system for a real estate business. The system should automatically capture leads, qualify them using AI, update our CRM, and route high-quality leads to the sales team on slack
Must be experienced with n8n, AI integrations (OpenAI or similar), CRM automation, and lead workflows. The goal is to fully automate lead handling and improve conversion rates.

I need a web scraper / data extraction to collect structured business data for all Supermarkets and Hypermarkets listed on 2gis.ae across the UAE.

---

**Data Fields Required:**
- Business Name
- Contact Number (Landline)
- Mobile Number
- Email Address
- Full Address
- Emirate (Dubai, Abu Dhabi, Sharjah, Ajman, Ras Al Khaimah, Fujairah, Umm Al Quwain)
- Website URL
- Business Category / Sub-category (e.g. Supermarket, Hypermarket, Mini Mart)
- Social Media Handles (if listed – Instagram, Facebook, WhatsApp)

---

**Deliverable:**
- Clean, deduplicated data in Excel (.xlsx) and CSV format
- One row per business location (not per brand)
- Separate column for each emirate for easy filtering
- No blank/junk rows; all columns properly labeled

---

**Requirements:**
- Proven experience scraping directories or similar listing sites
- Share sample output (10–20 rows) before full delivery for quality check
- Turnaround: within 3–5 business days

---

**To Apply, Please Include:**
A sample scrape from 2GIS
Your estimated record count (how many listings do you expect?)
Your fixed price quote for this project

---

We are seeking a specialist in synthetic data to assist with training AI models using synthetic data. The ideal candidate will have experience in generating synthetic data and integrating it into model training processes. This role requires a strong understanding of AI models and synthetic data generation techniques. The candidate should be able to work independently and contribute to the development of innovative AI solutions.

I'm looking for help extracting company information from an online directory and organizing it into an Excel spreadsheet.

Access to the website will be provided to the selected freelancer.

There are approximately 40,000 companies in the directory. Email addresses are the most important field, along with any other company information available.

I'm open to whatever approach works best. This may involve using a scraper or some other automated method.

The goal is simply a clean, accurate, and well-organized spreadsheet.

We would like for you to scrape through all the employees listed under the companies below (filtering where necessary). For each employee, we wish to extract the following information.

1. Basic Details:
- Name
- Linkedin URL
- Headline

2. Experiences:

a. Current Job:
i. Company Name
ii. Job Title
iii. Start Date, End Date and Duration
iv. Location

b. All Previous Roles:
i. Company Name
ii. Job Title
iii. Start Date, End Date and Duration
iv. Location

3. Education:
a. University
i. Degree
ii. Completion Date

Companies List:
• PwC Australia
• Accenture Australia
• CBRE*
• JLL*
• Argon & Co*
• TMX Transform
• ThreeSixty Supply Chain Group
• Prological
• Proxima*
• Trace Consultants
• RP Infrastructure

*For these companies, please filter for “Australia” under location.

We are looking for a senior web scraping automation expert who already has proven scraping systems, bots, scripts, proxy workflows, and data extraction processes ready to deploy.

We require the following fields for each record:

Business Name
Trade Category
Contact Name (if available)
Email Address
Phone Number
City/Suburb

Project Requirements

We are seeking a senior web scraping and automation expert with existing bots, scraping infrastructure, proxies, and automation systems already in place.

The objective is to collect large volumes of accurate trade and construction industry business data from publicly available sources.

This is not a manual data entry project.

We require automated extraction of:

Business Name
Trade Category
Location
Email Address
Phone Number

Ideal Candidate
Existing scraping systems ready to deploy
Experience scraping business directories and marketplaces
Python, Playwright, Selenium, Scrapy, Puppeteer or similar
Proxy management and anti-blocking techniques
Data validation and deduplication
Experience delivering 10,000+ record datasets
Important

Please describe:

The scraping tools and infrastructure you already use
Similar projects you have completed
Estimated records per day you can deliver
Cost per 10,000 verified records
Your process for validating emails and removing duplicates

We are looking for an experienced Real Estate List Builder & Data Operations Manager to build and manage lead generation lists for a real estate wholesaling operation in Indianapolis.

This is NOT a general VA role.

We are looking for someone who understands:

- List building
- Data quality
- Skip tracing
- CRM workflows
- KPI tracking
- Cold calling operations
- Lead generation systems

Responsibilities:

- Build and maintain absentee owner, vacant, high equity, tax delinquent, probate, pre-foreclosure, and other motivated seller lists
- Clean and deduplicate data
- Manage skip tracing processes
- Upload and organize data inside CRM and dialer systems
- Track answer rates, contact rates, and lead quality
- Create SOPs and scalable workflows
- Continuously improve list performance

Required Experience:

- Real Estate Wholesaling
- PropStream
- BatchLeads
- Skip Tracing Tools
- CRM Systems
- Data Management
- KPI Analysis

To apply, answer ALL of the following:

1. What markets have you worked in?
2. What list types have produced the highest contact rates for you?
3. What human contact rates have you personally achieved?
4. What specific actions did you take to improve those results?
5. Which skip tracing providers have you used?
6. Describe one campaign including:
- Market
- List type
- Contact rate before
- Contact rate after
- Timeline
7. What KPIs do you track weekly?
8. Have you built SOPs and scalable systems before?

Applications without detailed answers will not be considered.

• 1. What is the highest human contact rate you have personally achieved in a real estate cold calling operation? Please provide market, list type, and timeframe.
• 2. Describe one campaign where you improved contact rates or lead quality. Include KPIs before and after.
• 3. Which data sources, skip tracing providers, and CRM systems have you personally used?

I need a web scraper / data extraction to collect structured business data for all Supermarkets and Hypermarkets listed on 2gis.ae across the UAE.

---

**Data Fields Required:**
- Business Name
- Contact Number (Landline)
- Mobile Number
- Email Address
- Full Address
- Emirate (Dubai, Abu Dhabi, Sharjah, Ajman, Ras Al Khaimah, Fujairah, Umm Al Quwain)
- Website URL
- Business Category / Sub-category (e.g. Supermarket, Hypermarket, Mini Mart)
- Social Media Handles (if listed – Instagram, Facebook, WhatsApp)

---

**Deliverable:**
- Clean, deduplicated data in Excel (.xlsx) and CSV format
- One row per business location (not per brand)
- Separate column for each emirate for easy filtering
- No blank/junk rows; all columns properly labeled

---

**Requirements:**
- Proven experience scraping directories or similar listing sites
- Share sample output (10–20 rows) before full delivery for quality check
- Turnaround: within 3–5 business days

---

**To Apply, Please Include:**
A sample scrape from 2GIS or a similar directory
Your estimated record count (how many listings do you expect?)
Your fixed price quote for this project

---

Skills: Web Scraping, Data Mining, Scrapy, Data Scraping, Data Extraction

The task required would be ongoing for at least 3-4 months.

We currently use semrush to monitor the performance of our client. Part of our objective is to ensure that SEO and Ai visibility is maintained and/or improved.

We can give access to Semrush which will unbale you to see the current SEO, back links and AI Visibility. You may also offer some recommendations of what you think would improve the overall website performance and ranking.

If you are interested is working on this project, we would allow between 10-15 hours per months

If you require any additional questions, just reach out.

Cheers

Frederic Couturier

I’m ready to launch a premium line of Indian spices and need a strategist who can turn the category on its head. My top priorities are crystal-clear brand messaging and story, breakthrough market positioning, and a full Blue Ocean Strategy that carves out an uncontested space built on rigorous quality benchmarks.

Here’s what I need from you:

• Translate deep consumer and competitor insights into a compelling narrative that celebrates India’s spice heritage while making it feel fresh and globally relevant.
• Map the competitive landscape, identify strategic gaps, and develop a Blue Ocean “strategy canvas” that clearly shows how we diverge from every existing player.
• Define the core value proposition and quality standards that will set the benchmark for the segment.
• Deliver a cohesive brand platform—story, messaging framework, positioning statement, and differentiation pillars—ready for visual identity development.

I’m looking for someone who has done this before: please share one or two concise case studies that demonstrate your success in building disruptive food, beverage, or CPG brands with a Blue Ocean mindset. Explain the approach you used and the measurable impact you delivered.

If you can help me bring a bold, uncontested Indian spice brand to life, I’d love to hear how you would tackle this project and the milestones you’d propose.

Skills: Branding, Product Design, Data Mining, Market Research, Brand Management, Brand Marketing, Product Development, Strategic Planning

If this task can be completed, along with payment I will provide a very positive review along with potential future works with higher budgets.

So I am looking for an experienced scraper/data engineer to collect 1-minute OHLCV price data through ChartExchange for roughly 5,000 stock tickers, ideally going back up to 5 years where available.

Required fields:

Open
High
Low
Close
Volume
Timestamp

The data should be pulled from ChartExchange chart pages, using the ticker URL pattern. For example:

https://chartexchange.com/chart/nasdaq-aapl/

The chart should be set to OHLC and 1 Minute data. I have a list of the roughly 5,000 tickers that would need to be swapped into the URL in place of aapl.

This will be a large-scale scrape, so I need someone skilled with batching, retries, rate-limit handling, clean storage, and reliable CSV/Parquet output.

Please apply only if you have experience with large-scale financial data scraping and can deliver a clean, scalable, well-organized solution.

We are building one revenue engine for an entire portfolio of brands, and we need the person who feeds it. You find the leads. You clean the data. You turn HubSpot into a database our sales team actually trusts.

ABOUT CIULLO, INC.

Ciullo, Inc. is a holding company that operates a portfolio of brands across healthcare and technology. This is a long term role with one team, even though the brand you support will shift over time. Our first focus is Nsure, a revenue cycle optimization company that helps healthcare providers recover revenue they are currently losing. You can see what Nsure does at https://www.nsurecorp.com. Once Nsure is in strong shape, you move with us into the rest of the portfolio.

ABOUT ROLE

This is not pure scraping, and it is not pure data entry. It is both, and it sits next to our sales team every day. You own a list from first research through final handoff, and you take real pride in clean data.

WHAT YOU WILL DO

• Build The List. You research and build highly targeted prospect lists, starting with healthcare providers and the decision makers who own revenue cycle outcomes at Nsure.
• Clean The Data. You verify, deduplicate, and enrich every captured lead so the record is accurate and complete.
• Own HubSpot. You manage properties, segmentation, imports, and ongoing hygiene so the database stays solid.
• Feed The Team. You hand sales lists that connect, so callers reach the right person with the right context.
• Join The Huddles. You show up live, share what the data is telling you, and adjust targeting based on what sales learns.
• Scale Across Brands. You carry this same playbook into the other brands in our portfolio as we grow.

WHAT YOU MUST BRING

• Lead Generation Experience. You have built lists that produced real pipeline, ideally inside the medical or healthcare vertical for this first phase.
• Data Hygiene Discipline. You treat a clean, well structured database as a craft, not a chore.
• HubSpot Fluency. You know list building, property management, imports, segmentation, and deduplication cold.
• Eastern Time Availability. You reliably work United States Eastern Time business hours and join live huddles.
• Range. You are comfortable moving across different industries and brands as our focus shifts.

BONUS POINTS

• Healthcare Background. You have worked with revenue cycle management, medical billing, or healthcare technology companies.
• Tooling. You are skilled with ZoomInfo, Apollo, Definitive Healthcare, or LinkedIn Sales Navigator.
• Multi Brand Experience. You have supported more than one business line at the same time.

HOW WE MEASURE SUCCESS

We judge this role on the quality of the lists you deliver, the accuracy of the data inside HubSpot, and the conversation rates our sales team sees when they start dialing. A smaller list of verified, well targeted contacts will always beat a large list of guesses.

HOURS AND BUDGET

This is an ongoing hourly engagement with a budget range of $20 to $30 per hour, set by experience and the depth of healthcare list building you bring. We expect 20 to 30 hours per week to start, worked within United States Eastern Time. There is real room to grow into a larger role across the portfolio for the right person.

TO APPLY

Answer these in your proposal. Short and direct beats a long cover letter.

1. Describe a healthcare or medical lead list you built from scratch. Who was the target and how did you verify the data?
2. How do you keep a HubSpot database clean and well structured once leads start flowing in?
3. Which sourcing and enrichment tools do you rely on, and why?
4. Can you confirm that you can work United States Eastern Time and join live team huddles?

To prove you read this in full, start your proposal with the words "Clean List."

Arbitrage Bot Requirements (BetBurger + Polymarket + Pinnacle)

I am looking for a developer to build an arbitrage bot that uses BetBurger to identify arbitrage opportunities between Polymarket and Pinnacle.

1. Opportunity Detection

* The bot receives arbitrage opportunities from BetBurger.
* BetBurger should be used only for finding opportunities, not for execution.

2. Pre-Execution Price Verification

Before placing any trade, the bot must:

1. Pull the current live odds/prices directly from Polymarket and Pinnacle.
2. Compare the live prices with the prices shown by BetBurger.
3. Recalculate the arbitrage using the live data.
4. Execute only if:
* The prices still match (or are within a configurable tolerance).
* The arbitrage remains profitable.
* Required liquidity is available.

If any of these checks fail, the bot should skip the opportunity and wait for the next one.

3. Configurable Bankroll Per Trade

The bot should include a user-configurable setting for the total amount to use per arbitrage opportunity.

Example:

* Total stake per opportunity = $100
* Depending on the odds, the bot automatically calculates the correct allocation between both sides.
* Examples:
* $60 on one side and $40 on the other
* $70 on one side and $30 on the other
* Any other split required to maximize the arbitrage and maintain balanced profit

The user should be able to easily change this amount (e.g., $100, $500, $1,000, etc.) without modifying the code.

Goal

The bot should automatically find opportunities, verify live prices before execution, calculate the correct stake allocation based on the configured bankroll amount, and execute only when the arbitrage is still valid and profitable.

We are looking for a reliable BDR / Growth Assistant to support our B2B lead generation and outbound work.

This role is mainly focused on cold calling, appointment setting, lead follow-up, and basic admin support. You will be working with us across different client projects, helping us contact prospects, qualify opportunities, and keep lead data organized.

Main responsibilities:

* Make outbound cold calls to B2B prospects
* Follow a provided call script and qualification process
* Aim for consistent daily call volume
* Track call outcomes clearly in Google Sheets or CRM
* Update lead status, notes, and follow-up steps
* Help with admin work related to lead generation and outbound campaigns
* Support basic prospect research when needed
* Communicate daily progress, blockers, and results

Expected workload:

* Around 4 hours per day focused on cold calling
* Target is roughly 20 calls per hour, or around 80 dials per day
* Additional time may be used for admin, CRM updates, lead tracking, and follow-ups
* This can start as a short trial, with potential for longer-term work if it is a good fit

Who we are looking for:

* Comfortable speaking on the phone
* Clear English communication
* Confident handling rejection
* Reliable and consistent with daily work
* Organized with notes, sheets, and follow-ups
* Willing to learn and follow instructions
* Able to ask questions when unclear
* Honest about progress and results
* Experience with B2B cold calling, appointment setting, or lead generation is preferred

This is a good fit for someone who wants steady outbound work and can grow into more responsibility over time. We are not only looking for someone to make calls — we want someone who can become a dependable part of our growth operations process.

To apply, please answer the screening questions and share any relevant experience you have with cold calling, appointment setting, B2B lead generation, or CRM/admin work.

• Describe your recent experience with similar projects

**Project description:**
I need a Google Sheet of active freight brokers operating in the Dallas-Fort Worth metro area, built from FMCSA's public carrier database. This is a one-time research and data filtering task.

**Data source:**
FMCSA "Carrier" dataset at: https://data.transportation.gov/d/6qg9-x4f8
Direct download (text/plain CSV): https://data.transportation.gov/download/6qg9-x4f8/text/plain
Last updated: May 8, 2026.

**Filter criteria (apply ALL):**
1. State = TX
2. Entity Type = Broker (NOT motor carrier, NOT freight forwarder)
3. Operating Authority Status = AUTHORIZED FOR PROPERTY (or AUTHORIZED FOR HHG). Skip NOT AUTHORIZED, OUT OF SERVICE, and PENDING.
4. Physical address in DFW metro. Include any of these cities: Dallas, Fort Worth, Plano, Irving, Arlington, Garland, Lewisville, Frisco, Carrollton, McKinney, Mesquite, Grand Prairie, Denton, Flower Mound, Allen, Richardson, Rowlett, Coppell, Southlake, Grapevine, Bedford, Euless, Hurst, Keller, Mansfield, Burleson, Cedar Hill, DeSoto, Duncanville, North Richland Hills.
5. Bonus filter (preferred but not required): Authority granted before 2015.

**Required output columns (Google Sheet, exactly in this order):**
1. Legal Name
2. DBA Name
3. USDOT Number
4. MC Number (with "MC-" prefix)
5. Physical Address
6. City
7. State
8. ZIP
9. Phone (if available in source)
10. Authority Type
11. Operating Authority Status
12. Authority Granted Date
13. MCS-150 Last Update Date
14. Insurance On File (Y/N)
15. Bond Status (if available)

**Quality requirements:**
- Only AUTHORIZED status entries included
- Deduplicate by MC Number
- Sort by Authority Granted Date (oldest first)
- Tab 1: filtered results. Tab 2: brief notes on any filtering decisions you made.

**Deliverable:**
Single Google Sheet shared to my email (provided upon hiring). Estimated 100–300 rows.

**Budget:** $40–$60 fixed price
**Timeline:** 48 hours from project start

**Skills required:**
- Intermediate Excel or Google Sheets
- Ability to download and filter large CSV/TXT files
- Familiarity with FMCSA data is a plus but not required

• **To apply, please answer this question in your proposal:** What is the difference between USDOT Status and Operating Authority Status in FMCSA data?
• Describe your recent experience with similar projects

I have a curated dataset of patients’ genetic profiles and need a deep-learning solution that can reliably flag the presence of heart disease. Because the data are entirely genomic, the job begins with thoughtful preprocessing and feature engineering (handling high-dimensional SNPs, normalisation, train/validation split, class-imbalance techniques if required).

My single, overriding success metric is F1 Score; accuracy alone will not do, so the model must be tuned to balance precision and recall. You may choose the exact framework—PyTorch or TensorFlow/Keras are both fine—as long as the final code is clean, reproducible, and GPU-ready.

Deliverables
• End-to-end Python code or notebook that loads the raw genetic data, performs preprocessing, trains the deep neural network, and outputs predictions.
• Saved, versioned model weights plus a short README on how to retrain or fine-tune.
• Evaluation report that highlights F1 Score, precision, recall, and confusion matrix on the held-out test set.
• Brief architecture rationale so I understand why your chosen layers, regularisation, and hyperparameters suit genomic inputs.

I will provide the dataset and any relevant phenotype labels as soon as we start. My priority is a clear, well-documented workflow that I can deploy or extend later, so please keep modularity and readability in mind throughout the project.

Skills: Python, Matlab and Mathematica, Machine Learning (ML), Data Mining, Data Science, Neural Networks, Keras, Data Analysis, Deep Learning, Model Deployment

I'm looking for a sharp lead researcher to build me a list of decision-makers at iGaming companies (crypto, sweepstakes, bgaming, affiliate sites) and AI companion / Girflriend / chat app companies.

What you'll do:
Find founders, CMOs, marketing managers, and growth leads at companies in these two niches. Collect their Telegram handle (Or Whatsapp number), LinkedIn, and company website into a spreadsheet I'll provide.

The hardest and most important part: finding their Telegram username (Or whatsapp number). Most of these people list it in their X bio, Telegram channel admin lists, or affiliate directories. You need to actually verify each handle is real — not guess.

To apply — find me 1 free sample lead and include it in your cover letter

Pick one person who fits (founder, CMO, or marketing lead at a crypto casino, iGaming affiliate site, or AI companion app). Send me:

First Name, Last Name

Role + Company

Company Website

After starting the contract I will also require:

Telegram handle (or Whatsapp number) (@username) — verified
LinkedIn URL

One line on where you found the Telegram handle (X bio, channel, directory, etc.)

No sample lead in the cover letter = I won't read the application. This filters people who actually know how to do the work from people who copy-paste templates.

If your sample is solid, I'll move you to a paid test: 10 verified leads for $20. If that's also good → ongoing role at agreed rate (hourly or per-lead).

Ongoing target: 20–30 verified leads per day, 5 days/week.

Also include in your cover letter:

One sentence on why you'd be good at this

About the role:

We help small home service businesses (HVAC, plumbing, electrical, roofing) doing $80K-$500K/year get found online, look more professional, and stop missing leads. Your job is to find businesses that match our criteria, verify each one, and build a clean, accurate lead list.

I handle all calls and final grading. This role requires high attention to detail - I review every batch closely.

What you'll do:

- Search Google Maps for HVAC, plumbing, electrical, and roofing companies in target areas
- Check each business's reviews, rating, website, and online presence against our criteria
- Note signals like missed-call complaints, slow response mentions, inactive profiles, and how they compare to local competitors
- Record everything in a spreadsheet with screenshots as proof
- Mark each lead as qualified or not, with a clear reason

What we're looking for in you:

- Fluent English (written)
- Strong online research skills, very detail-oriented
- Comfortable with Google Maps, Google Search, and Google Sheets/Excel
- Able to follow a process exactly as written, every time
- Reliable, communicative, meets deadlines without reminders
- Bonus: experience in home services, B2B sales, or digital marketing

Compensation: hourly rate or per-verified-lead bonus; DOE

Process:
- Full step-by-step SOP and qualification criteria provided after the initial interview/trial phase.

I need comprehensive contact data of retail sector businesses in Pakistan planning to expand to South Punjab, specifically Multan. This includes:

- Email addresses
- Cell numbers
- WhatsApp numbers
- LinkedIn accounts
- Official phone numbers

Ideal Skills and Experience:
- Experience in data mining and lead generation
- Familiarity with the retail sector in Pakistan
- Ability to deliver accurate and verified information quickly

Please include detailed project proposals in your application.

Skills: Data Entry, Excel, Web Search, Data Mining, Market Research, Data Analysis, Lead Generation, Data Collection

We are seeking a skilled data scientist to work on a project involving Large Language Models. The role involves data analysis, model training, and deployment. The ideal candidate will have experience in data mining and be proficient in Python. This is a part-time position with a duration of 1 to 3 months.

About the Role
We are looking for a detail-oriented lead scraper to build targeted prospect lists for our outbound sales campaigns. This is an ongoing role with consistent work if you deliver quality results.
What You Will Be Doing

Building prospect lists based on our defined ICP (Ideal Customer Profile) and territory criteria
Pulling and verifying contact data using Sales Navigator, Apollo, and Clay
Outputting lists in a structured CSV format with specific required columns
Following our documented SOP exactly, including naming conventions, filters, and quality standards
Flagging gaps or issues in the data before delivery

Requirements (Non-Negotiable)
You must already have active access to all three of the following tools. We will not provide subscriptions or cover tool costs.

LinkedIn Sales Navigator
Apollo.io
Clay

If you do not have access to all three, please do not apply.
What We Are Looking For

Someone who can follow a written process precisely, not someone who will improvise or substitute steps
Attention to detail on data quality (no junk emails, outdated contacts, or irrelevant company types)
Ability to work independently once briefed, with minimal back-and-forth