Data Mining Jobs

**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’m running a head-to-head study of several classic and deep-learning classifiers—KNN, Logistic Regression, linear SVM, Kernel SVM, and a simple feed-forward Neural Network—using both the original MNIST digits and the Fashion-MNIST images. I want the two datasets treated with equal weight so that any conclusions hold across handwriting and apparel imagery alike. Before training, every image batch must pass through Normalization and Feature Scaling, and I’d like to see creative yet reasonable Data Augmentation (rotations, shifts, noise, etc.) applied consistently to both datasets so we can observe how each model copes with expanded variability. For each classifier, I need precision, recall, and F1-score reported per class and averaged (macro and weighted). Beyond r...

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...

We are looking for an experienced developer to build a robust web scraping solution capable of extracting structured data from a login-protected medical/drug repository website. The platform contains a large database of drug information (potentially hundreds of thousands to over a million pages). The scraper should be able to navigate through the website after login, systematically extract relevant drug data, and store it in a structured format. Scope of Work: Develop a scraper that can log into a protected website. Navigate through the drug repository pages. Extract structured information from each drug page. Handle pagination and large-scale crawling. Implement mechanisms to prevent crashes or interruptions during long scraping runs. Store extracted data in a structured format such as ...

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...

Project Description: We are looking for a freelancer to help with a data research and filtering task using LinkedIn Sales Navigator and some online tools. Workflow: 1. I will provide LinkedIn Sales Navigator filter criteria to find companies. 2. Using those filters, you need to extract the list of companies from Sales Navigator. 3. For each company, collect: - Company name - LinkedIn company page - Website domain 4. Next, check the MX records of each website using the MX checker link that I will provide. 5. If the domain uses Google Workspace (Google MX records) → proceed to the next step. 6. Then check the BIMI record using the BIMI checker link I will provide. 7. If: - MX = Google Workspace - BIMI = Not enabled → Then collect: - CEO LinkedIn pr...

I have a curated list of specific company websites and I need an automated solution that extracts complete contact information from each one. The goal is to turn every URL into a clean, ready-to-use lead. WEBSITE : The scraper should capture: • Email addresses • Phone numbers • Mailing addresses • LinkedIn profile link • Location (city / state / country) • First and last name • Occupation / job title • Company name • Company website A well-structured CSV or Excel file is the preferred output, with each field in its own column. I am comfortable with your choice of tech—Python with BeautifulSoup, Scrapy, or Selenium are all fine—as long as the script runs reliably and respects and rate limits where required. Ac...

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...

Project Title: MERN Stack Web Application Development Project Description: I am looking for a developer who can build a web application using the MERN Stack (MongoDB, , React.js, Node.js). This project is for academic purposes. Requirements: • Frontend: React.js with responsive UI • Backend: Node.js and • Database: MongoDB • Features: User authentication (login/signup), CRUD operations, basic dashboard • Clean and well-structured code Additional Requirements: • Source code must be provided • Basic documentation of the project • Proper comments in the code Budget: Open for discussion Deadline: 5–7 days If you have experience with MERN Stack development, please place your bid and share your previous work if available.

I have a collection of operational spreadsheets and large CSV exports from our existing business that now need tidy-up work before they can move into our core system. The job is straightforward but detail-heavy: • Enter any missing data exactly as it appears on the source documents. • Remove duplicates and obvious entry errors. • Apply a consistent column order, date format (YYYY-MM-DD), and currency style across every sheet. • Break the oversized CSV files into smaller, logically grouped files without corrupting headers or data types. Everything will be done in Microsoft Excel (or compatible tools) and saved back in XLSX and properly named CSV files. I will provide the raw files, formatting template, and simple naming convention the moment we start. Accuracy i...

Title Build Comprehensive Global Movie & TV Metadata Database for Recommendation Engine Project Overview I am building a personal recommendation engine that predicts my rating for movies and TV shows based on a large history of titles I have already rated. To support accurate predictions, I need a global media metadata database that contains rich structured information for movies and TV series. The dataset should combine multiple trusted sources and be designed for machine-learning comparison against my rating history. Scope of Work Build a master dataset containing global movie and TV metadata. This will serve as the candidate pool for prediction models. The database should include titles from: • IMDb official dataset • The Movie Database API • Optional enri...

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, ...