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I will provide a collection of PDFs and image files that sit behind a series of online links. Each file contains tabular information that must be carefully extracted—no automated scraping available on these pages—so the work is true data extraction from images or PDFs. Every captured value then needs to be placed into a structured Google Sheets document I’ll share before we begin, with the columns already labeled for you. Accuracy is more important than speed: spellings, figures, and any special characters must match the source exactly. Please retain the original order of the rows so the data aligns with my existing formulas in adjacent sheets. Deliverable • A complete, clean Google Sheets file populated with all entries from the supplied online sources, ready ...

**Key Skills** • Data Analysis using Python • Data Cleaning and Data Preprocessing • Exploratory Data Analysis (EDA) • Machine Learning Model Development • SQL for Data Querying and Data Management • Data Visualization using Matplotlib and Seaborn • Libraries: Pandas, NumPy, Scikit-learn • Problem Solving and Analytical Thinking • Clear Communication and Insight Reporting About Me : I am a data analyst and machine learning enthusiast with hands-on experience in analyzing datasets and extracting meaningful insights using Python and SQL. I specialize in data cleaning, exploratory data analysis, and building machine learning models that help identify patterns and support data-driven decision making. I work with tools and libraries such as Panda...

I need to build a complete dataset of every individual trade ever executed on sports betting markets on Polymarket, a prediction market platform running on the Polygon blockchain. The end goal is a structured file where each row represents a single trade fill, containing the wallet address, the market and event it belongs to, which sport/league it falls under, the outcome being traded, price per share, number of shares, USDC amount, timestamp, transaction hash, and whether that wallet was the maker or taker. Each row should also include the settlement result of that market (which outcome won) so that I can calculate profit and loss on my own. The dataset needs to be granular and complete enough that I can perform any analysis I want on trader behavior, performance, and patterns after deliv...

I need a clean, well-structured database of business emails taken exclusively from the German directory (Wer liefert was). For every record, please capture two fields exactly as they appear on the site: • Company Name • Corresponding business Email Address Only genuine business-domain emails are useful here; personal or educational addresses can be skipped outright. Please extract the data with whatever method you trust—Python, BeautifulSoup, Selenium, or another crawler—so long as the final list is accurate and free of duplicates. A quick manual sweep or API-based validation to remove bounced or malformed addresses will be appreciated. Deliverables 1. One CSV or Excel file containing the two columns: Company Name | Email Address 2. A brief note on your s...

I need a comprehensive dataset to train a CNN algorithm for detecting patient-ventilator asynchronies (PVA). The data should be synthetically generated using Python. Dataset Requirements: - Types of Asynchronies: Trigger asynchrony, Flow asynchrony, Cycle asynchrony - Necessary Details: Occurrence frequency, Patient demographic info Ideal Skills and Experience: - Proficiency in Python - Experience in data synthesis and manipulation - Familiarity with CNNs and dataset requirements for machine learning - Background in medical data or ventilator mechanics is a plus Please ensure the dataset is large and varied enough for effective training.

Job Title B2B Lead Generation Specialist – Mining, Construction & Equipment Rental (Australia) About the Role Blue Diamond Machinery is seeking a freelance B2B Lead Generation Specialist to identify and connect with companies involved in mining, construction, and equipment rental across Australia. Your role will be to generate qualified leads and introductions with companies that may require generators, hybrid power systems, battery energy storage systems (BESS), or temporary site power solutions. This role focuses on building a pipeline of opportunities for our sales team. ⸻ What You Will Do • Identify mining and construction projects across Australia • Research equipment rental companies and contractors that may require power equipment • Identify key deci...

Job Title Project Intelligence Analyst – Mining (WA) & Construction (Australia) About the Role Blue Diamond Machinery is seeking a freelance Project Intelligence Analyst to identify and track upcoming mining and construction projects that may require temporary or remote power solutions. The objective of this role is to provide early project intelligence—identifying opportunities before procurement begins. Focus Areas • Mining projects: Western Australia (Pilbara, Goldfields, regional developments) • Construction projects: Australia-wide (major infrastructure, renewables, industrial construction) What You Will Do • Identify upcoming or active mining and construction projects • Map the contractors and EPC companies involved • Identify decisio...

I’m putting together a focused mailing list of residential properties from a specific section of Clifton, New Jersey and need help gathering the data. Once we start I’ll give you the exact streets/ZIP codes that define the target zone. From there, please pull every residential record you can find—single-family homes, condos, and multifamily units all count—as long as they sit inside the boundary I provide. What I need for each property is simple: the owner’s full name and the complete street address (including city, state, and ZIP). Accuracy matters more than volume, so rely on reliable sources such as Passaic County public records, local tax rolls, or other verifiable datasets rather than scraped, outdated lists. Cross-checking with USPS or GIS tools to conf...

I am building a real estate “market radar” for Uruguay that identifies undervalued properties and potentially motivated sellers. The goal of this project is to create a data workflow that automatically collects property listings from real estate portals and organizes the data so it can be analyzed in Excel. Primary data sources: • MercadoLibre Inmuebles (primary source) • InfoCasas Uruguay (secondary source, optional) No public records or auction data are required at this stage. PROJECT SCOPE The system should automatically collect property listings and store the data in a structured dataset. The scraper should run once per day and collect the following fields: • listing ID or unique identifier • property price • property location or neighborhoo...

I have a spreadsheet containing the names of 3,172 billionaires but no contact details at all. My first priority is to secure verified personal email addresses for each person. Wherever possible, please also add their work-related emails and direct phone numbers, yet the personal email or work email is the non-negotiable data point I need. You are free to pull from any reliable resources—ZoomInfo, Lusha, RocketReach, Swordfish, Hunter, LinkedIn Sales Navigator, press releases, family-office websites—so long as the final data is accurate, current, and legally obtained. Bounce rates must stay very low; anything above 5 % will be rejected. When you reply, reference past work where you have successfully located hard-to-reach or high-net-worth contacts, showing the volume handled ...

I will give you a list of 10,000 individual names together with the URL of an online directory that includes a built-in search box. Your job is to look up each person, copy just two data points—email address and phone number—and record them neatly in a spreadsheet (Excel or Google Sheets is fine). Because only email and phone are required, no extra fields such as address, company name, or job title are necessary. Consistency matters: please keep one row per person, use separate columns for email and phone, and avoid duplicates or partial entries. I will spot-check accuracy, so gathering the correct details the first time is essential. To help you start smoothly, I will provide a small test batch; once that’s approved you can proceed with the full 10k. If you have tools ...

Build Web Scraper to Extract Business Owner Leads from NY Court Filings ⸻ Project Description I need a web scraper built to collect business owner lead information from the New York court filing system. Website: The scraper should search for specific merchant cash advance lenders such as: BizFund Kalamata Capital Group Vox Funding RDM Capital Funding LCF Group The scraper should identify lawsuits filed by these lenders and extract the defendant business and owner information from the complaint documents. ⸻ Data Needed The final output should include: Company Name Owner First Name Owner Last Name Mailing Address Business Address (if different) This information will be used for skip tracing to obtain phone numbers. ⸻ How the Scraper Should Work 1. Search the court system for ...

The goal is to turn long-term Reddit chatter into actionable forecasts for the equity market. Here’s the flow I need built and documented: • Data assembly   – Pull every post and comment that mentions publicly traded tickers over the past 3-5 years, using Reddit’s API (PRAW or Pushshift).   – Filter & rank tickers by daily trading volume, then lock in the top ten companies for the study.   – Store raw text, basic metadata, and a timestamp-aligned sentiment score in a clean, queryable format (Parquet or CSV). • Market reference set   – Fetch matching historical OHLCV data for those ten tickers from Yahoo Finance so each trading day can be paired with Reddit sentiment features. • Model...

I'm seeking an experienced information management specialist to join our committee focusing on the organization of employee data. Key Responsibilities: - Data Entry and Maintenance: Ensure accuracy and up-to-date information in our employee databases. - Data Analysis and Reporting: Generate reports and insights to aid in decision-making and compliance. Ideal Skills and Experience: - Strong background in data management, particularly with employee data. - Proficiency in data analysis tools and software. - Detail-oriented with a commitment to data accuracy. - Experience in compliance and governance related to data handling. Looking forward to your expertise in streamlining our data processes!

I'm seeking a data scraping expert to gather detailed information on companies in India. The data will be used for targeting as a financial advisor. Key Requirements: - Financial Metrics: Annual revenue and profit margin. - Company Filtration Criteria: Specific criteria will be provided. - Contact Details: Email addresses, phone numbers, and LinkedIn profiles of promoters and key personnel. Ideal Skills and Experience: - Proficiency in web scraping tools and techniques. - Experience in handling and processing large datasets. - Familiarity with Indian companies and financial metrics. - Attention to detail and accuracy in data collection. Please provide samples of previous work and estimated time to complete.

**Scope of Work – Lawyer Outreach and Acquisition for Jurislex** **1. Project Overview** Jurislex is an international legal directory designed to increase the visibility of lawyers and law firms and facilitate cross-border professional connections and referrals. The objective of this project is to identify lawyers already listed on other legal directories and contact them individually via email to introduce the Jurislex platform and invite them to register on the directory. **2. Objectives** The freelancer will assist in identifying qualified lawyers and law firms and conduct personalized email outreach in order to generate interest and encourage them to register on Jurislex. **3. Scope of Services** **A. Lead Identification and Research** * Identify lawyers and law...

My team builds AI-powered chatbots—web, Telegram, and custom integrations—geared toward automating the sales process for businesses that are ready to embrace conversational commerce. To keep our pipeline healthy, I need a steady flow of fresh, qualified prospects who have expressed clear interest in chatbot development, AI assistants, or sales-automation bots. What I need from you • A validated list of decision-makers (founders, heads of marketing, growth, or digital transformation) at companies that are actively exploring chatbot or automation projects. • Contact details that pass a quick accuracy check: name, role, company, email, LinkedIn URL, and a short note on how the lead matches our focus (e.g., “seeking Telegram bot to streamline D2C sales”)....

I need an engaging trainer who can take absolute beginners through the fundamentals of data analysis in a series of online live sessions. The audience has no prior experience, so the material needs to start from scratch—explaining core concepts, demonstrating workflows step by step, and giving plenty of hands-on practice. We will meet over a video-conferencing platform (Zoom or similar) at agreed times. I expect you to bring a clear syllabus, lively examples drawn from real datasets, and interactive exercises that let participants follow along on their own machines. Recordings of each session, slide decks, and any code or spreadsheet templates you use should be shared afterward so the group can review. By the end of the program, participants should comfortably import raw data, perf...

I am seeking an experienced investigator to conduct a comprehensive background investigation on a specific individual, as well as their family members and close associates. Two previous investigations have already been conducted using standard OSINT techniques and tools (including platforms such as Maltego). For this reason, basic OSINT approaches will not be sufficient for this project. I am specifically looking for someone capable of performing deeper investigative analysis, identifying indirect connections, overlooked data sources, and relationships within the subject’s personal and professional network. The objective is to produce a thorough, well-documented investigative report that may include findings relevant to potential legal or regulatory review. Scope of Investigation...

Must have Costar, Lexis Nexus, Landvision, or similar commercial real estate paid subscription tool Must have the ability and able to demonstrate live, how your team will manually find the correct owner of the property in question using Lexis Nexus or Costar tool These are paid tools, if you do not have access, I can not hire you

I need a clear, well-structured dataset that lists every private campground in my target area and shows exactly the total number of “night spots” (beds, bunks, or allowable sleeping positions) so I can gauge group capacity at a glance. Scope of work • For each campground, break down every bookable campsite—tent, RV, and cabin—and record the maximum sleeping capacity of that specific spot. • Present the findings in a spreadsheet (Excel or Google Sheets) with columns for Campground name, Acceptance criteria • 100 % of private campgrounds in the chosen region are covered. • Each site’s sleeping-spot number is verified from the campground’s official source (website, reservation system, or direct contact) and a citation or link i...

I need a series of in-depth, step-by-step video tutorials that run 20 minutes or longer and cover three pillars: practical data analysis in Excel, practical data analysis in Power BI, and a clear walk-through of the different connection types inside HAGO. Each tutorial must be recorded, edited, and then uploaded to my as well as shared in our HAGO community space. I will also rely on you to handle any download links or file transfers so members can keep the videos for offline viewing. Deliverables • At least one long-form video for each of the three topics listed above (total: 3+) • Screen-recorded demonstrations in the latest versions of Excel and Power BI, narrated in fluent English • 1080p resolution, clear audio, time-stamped sections in the description • Y...

Job Title: Python Developer Employment Type: Full-Time Location: India preferred — Mumbai, Hyderabad, Pune, or Bangalore Company Type: Consulting / Client Services Python Developer — Full Time We are hiring a Python Developer with 3–5 years of experience to join our consulting team full time. This role is for a single dedicated individual who can take ownership of work, move quickly, and deliver high-quality results across a variety of client projects. You will work on an assortment of software, automation, AI-assisted, and integration-focused projects for US-based clients. Our environment is fast-paced and execution-oriented. We are looking for someone who can work independently, communicate clearly, and turn work around on a daily basis. This is not a role for an ag...

Lead List Building — B2B SME Contacts Multi-country · Multi-sector · Verified Emails · CSV Delivery PROJECT OVERVIEW I am building a targeted outbound email programme for a B2B financial advisory business. I need a clean, verified lead list of SME founders and owners across 6 countries and 8 industries, exported as a structured CSV file ready for import into an email automation platform (). This is a data sourcing and research task only. I do not need email sequences, outreach, or any contact to be made with the prospects. I need clean, accurate data delivered to a specification. EXACT TARGETING SPECIFICATION Countries (all 6 required) ▸ United Kingdom ▸ Ireland ▸ Netherlands ▸ Indonesia ▸ Thailand ▸ Singapore Industries (all 8 required) ▸ Biote...

I need a clean, export-ready list of IT and Technical staff pulled directly from ZoomInfo and limited strictly to the Software and Technology industry. For every person you include, I must have three verified data points: their direct email address, a direct phone number, and an up-to-date LinkedIn profile URL. Accuracy matters more than sheer volume; bounced emails or generic phone lines will not be accepted. Deliverables • Spreadsheet (Excel or Google Sheets) with separate columns for First Name, Last Name, Job Title, Company, Email, Direct Phone, LinkedIn URL, Company Size, and Headquarters Location. • A brief note on the search parameters you applied in ZoomInfo so I can replicate or refine later. I’ll review with a quick spot check—if 95 % or more of t...

Inputting address details for providers

I have to confirm whether specific street addresses qualify for the government-funded home-insulation programme. The Energy department website holds an “address eligibility” checker, and I need that information pulled automatically rather than re-typing each location by hand. Your task is to build and run a scraper that goes through the same steps the public tool requires, captures the eligibility result for every address I supply, and returns the full set in a clean Spreadsheet (Excel or CSV is fine). A repeatable script—Python with requests / BeautifulSoup or Selenium, or any language you are comfortable with—is preferred so I can rerun it later when the list of addresses grows. Handle captchas or session cookies if the site uses them, and respect polite crawlin...

I have several years of historical sales records spread across CSV files, Excel workbooks, and a database. I want you to turn that mixed-source information into a clean, consistent dataset, explore it for trends and seasonality, and then build a machine-learning model that can reliably project future sales. Data preparation must cover every stage—handling missing values, normalising numeric fields, and performing any transformations needed to feed the algorithms. Once the data is tidy, run an exploratory analysis so I can clearly see the patterns that drive revenue, especially how previous sales, marketing spend, and seasonal shifts interact. For modelling, I am open to linear regression, Random Forest, ARIMA, or another regression-based technique you can justify in the report. The...

Title: I will build a customer churn prediction model using Python Description / Project Brief: Hi, I need a freelancer to develop a machine learning model that predicts customer churn for my business. The project includes: Data Cleaning & Preprocessing: Handle missing values, remove duplicates, encode categorical variables. Prepare the dataset for model training. Exploratory Data Analysis (EDA): Analyze trends and patterns in the dataset. Create visualizations to show factors affecting churn. Machine Learning Model Development: Train a supervised learning model (like Logistic Regression, Random Forest, or KNN) to predict customer churn. Evaluate the model using metrics like accuracy, precision, recall, and F1-score. Report & Recommendations: Provide a brief report summ...

Python Data Analysis & Machine Learning Project Description: Hi, I need a freelancer to help with a data analysis and machine learning project. The project includes: Data Cleaning & Preprocessing: Handle missing values, remove duplicates, encode categorical data. Prepare the dataset for analysis and ML model training. Data Analysis & Visualization: Analyze the dataset to identify trends, patterns, and insights. Create visualizations using Python libraries (Pandas, Matplotlib, Seaborn). Machine Learning Model Development: Build and train a supervised learning model (KNN, classification, or regression). Evaluate the model performance using metrics like accuracy, precision, recall. Documentation & Report: Provide a brief report of the analysis, model results, and r...

I need an expert to analyze daily rainfall data for my farm and build a predictive model. The analysis should cover: - Trend analysis - Anomaly detection - Seasonal patterns assessment The goal is to develop a robust rainfall prediction model. Ideal skills and experience include: - Proficiency in data analysis and statistics - Experience with predictive modeling - Knowledge of agricultural impacts of rainfall patterns - Familiarity with relevant software and tools (e.g., Python, R, etc.) The data is very erratic so I dont need a detailed monthly prediction model although it would be nice if possible, otherwise a yearly prediction model or atleast something that says a dry season is coming or a wet season is coming. The model must include macro environmental factors such as El Nino (ONI...

I need a reliable, repeatable script that automatically pulls historical and fresh match-result data for the Premier League, La Liga, Serie A, the English Championship and the Bundesliga 1. The workflow should: • visit publicly available sources you identify (official league sites, APIs, or reputable statistics portals), • extract the full-time score, date, home/away sides, venue and any metadata you can pick up (round, referee, attendance), • extract data on goals including the exact time and goalscorer • additional data extracted from match Commentary would be helpful, i.e. substitutions, shots on goal, shots off target, etc. with times will help • normalise club names so they are consistent across all leagues, and • write everything into a single, tidy...

I need a complete, current data set for every car dealership operating in Milwaukee, Wisconsin, pulled directly from each dealership’s own website. For every dealership I want a phone number and a working email address; All results must be delivered into a single Google Sheet that I will share with you at the start of the project. I only want information gathered from official dealership sites—no third-party listings or directories. Please keep requests polite enough to avoid rate-limiting and respect any guidance. Deliverables • Google Sheet tab 1: one row per dealership with name, phone, email, and website URL • Google Sheet tab 2: complete inventory list with dealership name, make, model, year, and the source link Acceptance is based on a spot-check of ...

I need a rock-solid n8n workflow that, whenever I trigger it, navigates through selected e-commerce sites and public business directories, captures every piece of business information that is publicly available, and stores it in a clean, query-ready format. The data I care about includes the business name, category or type, “about” text, founders’ names, any additional corporate details the site reveals, plus all images properly downloaded and tagged. I will be running various data-analysis models on the output, so accuracy, consistency, and tidy structuring are non-negotiable. The flow must: • Accept a list of target URLs and run on demand (no fixed schedule). • Respect and site rate limits while still remaining efficient. • Handle pagination, lazy-...

I have a growing list of potential podcast guests and need their up-to-date job titles verified through professional networks—specifically alumni networks. Your task is straightforward: hop onto those school or program directories, confirm each person’s current position, and return the findings in a clean spreadsheet. Please include: • guest’s full name exactly as supplied • verified current job title and employer • link or screenshot reference to the alumni-network page used • date you confirmed the information Accuracy matters more than speed, but I would like the first batch within 48 hours so we can gauge consistency. If an alumni source is not available for a particular guest, note that clearly; do not substitute data from unrelated sour...

Data Science Competition in the HAGO Community We invite all data enthusiasts and creative minds to join a unique challenge within the HAGO community to form a team of data scientists, aiming to participate in global competitions and analyze financial markets and stocks. Challenge Topic We provide a comprehensive dataset covering: Electric Vehicle (EV) performance. Charging behavior. Battery health. Cost analysis across different manufacturers, models, regions, and usage types. Participants are required to: Explore and analyze the dataset. Build accurate predictive models. Present innovative insights into the future of electric vehicles. Submission Guidelines Submit a file written in Python, including all steps of analysis and prediction. Save the file as a PDF and upload it u...

We are hiring remote contributors to create photo-based language data using everyday materials found around you. This project focuses on collecting natural, real-life text captured through a phone camera. What You’ll Do - Photograph common objects that contain written text (printed or handwritten). - Provide three unique shots per item, changing position, distance, or lighting. - Ensure content is original and varied. - Most of the visible text (minimum 75%) must be in your local language. Eligibility - Fluent in the target language (native or near-native). - Physically located in a country where the language is used. - Own a smartphone capable of taking clear photos. How It Works - Upload images through a Google Form. - Submissions are reviewed individually. - Only valid, clear, ...