Informationsutvinning (Data mining) Jobs

We are building a comprehensive automotive database and are looking for a detail-oriented freelancer to collect and structure car data along with images. The goal is to create a clean, well-organized dataset of car brands, models, generations, and their technical specifications. Responsibilities: Collect automotive data (Brand → Model → Generation → Year) Gather full technical specifications, including: Engine (type, power, torque) Transmission Fuel consumption Dimensions Performance (0-100 km/h, top speed, etc.) Find and attach high-quality images for each car (preferably multiple angles) Ensure data accuracy and consistency Organize all data into a structured format (Excel / Google Sheets / CSV) Data Structure Example: Brand Model Generation Production Years Engine Specs...

I'm looking for an experienced sales freelancer to find and close clients for Machine Learning and Python development projects. Your job is to prospect potential clients, pitch our services, and bring in signed projects. You will handle the initial communication until the client is handed off to our technical team. We work on ML models, data analysis, Python automation, AI solutions, and chatbot development. This is a commission-based role. You earn a percentage of every project you close. The more you bring in, the more you earn. Remote and flexible work arrangement. Ideal candidate has experience selling tech or software services, knows how to use platforms like LinkedIn or Upwork for outreach, and has strong English communication skills. Please include examples of past clients or d...

Project Overview We are looking for reliable contributors for a remote email data collection project. The task involves submitting authentic, business-related emails that meet quality, privacy, and formatting requirements. This is a flexible remote opportunity for detail-oriented individuals who can carefully follow instructions and deliver accurate work. Language Requirement - Native Hindi speakers - Based in India preferred Task Responsibilities - Submit emails in the required .eml format - Ensure emails are clear, complete, and meaningful - Follow provided formatting and anonymization instructions - Organize submissions accurately and on time Email Categories Collected emails may include: - High Importance (alerts, OTPs, reminders) - Transactions (orders, payments, delivery upd...

Find and deliver 50 verified crypto & Forex trading influencers from GCC (UAE, Jordan, Iraq Saudi, Qatar, Kuwait, Bahrain, Oman) across Instagram, Telegram, YouTube, and TikTok. Key Responsibilities Research and shortlist 100–150 influencers Filter based on: Avg views: 70K–80K+ Reach out via DM/email/Telegram Collect: Pricing Media kit Audience stats Analyze and remove: Fake followers Low engagement accounts Scam promoters Final Deliverable Provide 50 organic influencers with: Name & platform Followers & avg views Engagement rate Country (GCC) wise stats Contact details Pricing Notes (authentic / risk) Skills Required Influencer research (crypto niche) Data analysis (engagement, fake detection) Outreach & negotiation

I need assistance with data collection for my Doctor of Business Administration project. You will be responsible for obtaining access to asset management services organizations within UAE Asset Management serctors distributing surveys and questionnaires. Key Requirements: - Collect data using platforms like SurveyMonkey, Microsoft Forms, or Qualtrics - Ensure data accuracy and confidentiality - Collaborate on data collection timelines and goals Ideal Skills and Experience: - Experience with online survey tools - Strong attention to detail - Ability to meet deadlines - experience in academic research is a must

I need a clean spreadsheet of active Indian online sellers pulled from Instagram, Amazon, Flipkart and Meesho. For every seller you collect, please capture three fields only: the seller’s name, a working mobile number and, where applicable, their Instagram handle. The target volume is about 1 000 unique sellers, so please plan your research or scraping workflow accordingly—accuracy must come before quantity. Duplicates across platforms should be merged into a single row with the platforms noted. Deliverable • One Excel or CSV file containing ≥ 1 000 rows • Columns: Name | Mobile Number | Instagram Handle | Platform(s) • Mobile numbers must dial through; I will randomly test at least 5 % of the list before releasing final approval If you rely on ...

A cricket passionately experience person to scrap data relevant to cricket 1.I want a list of all the players of each IPL 2026 team categories them as a batter bowler all-rounder with country of origin and city, jersey number, and player of which team. Their Bowling speed, Debut year, Strike rate And highlighting captain, wicket keeper, vice captain. Each page for each dedicated team. 2. Different types of cricket ball and their usage and their life (how much over a ball can play) , lenght , line, delivery type, pitch map. Everything about ball and bowling 3. Types of pitchs and their advantages and disadvantages including which pitch is made of which soil. 4. Batting stance, shot, ho to play spin, pace ball when to lift ball, how to see a ball, when to shoot, what type of ...

I'm seeking an experienced Python developer to help with data analysis and automate data scraping tasks. Key Requirements: - Develop Python scripts for data analysis. - Automate data scraping from websites. - Deliver clean, structured datasets for analysis. Ideal Skills: - Proficiency in Python, especially for data manipulation. - Experience with libraries like BeautifulSoup, Scrapy, or Selenium. - Strong background in data analysis, preferably with Pandas or NumPy. - Familiarity with data storage solutions (e.g., SQL, NoSQL). Looking for someone who can write efficient, reliable scripts and has a keen eye for detail.

I have a raw CSV export of customer-level transactions from our retail platform and I need clear, data-driven insight into which products are really driving revenue. The goal is simple: surface product-level sales trends so I can see which SKUs consistently outperform and which ones lag behind, all viewed through the lens of revenue generated rather than just unit counts. You’re free to structure the workflow as you see fit, but I expect the core analysis to happen in Python, leveraging pandas and NumPy for data wrangling and aggregation. I’ll supply the dataset along with a brief data dictionary; you return a well-commented Jupyter notebook (or .py script) that: • Cleans and normalises the raw data • Calculates revenue by product over selectable time windows &b...

I have more than twenty-one separate census workbooks that need to become one clean, analysis-ready master table. All source files are in Excel, but only a portion share the same column order, header names, and data types—others drift just enough that simple copy-paste won’t work. Here is what I need from you: • Inspect every workbook, standardise field names, data types, and date formats • Append all records into one master sheet (or a single .xlsx with a clearly named “Master” tab) • Flag and resolve duplication, obvious entry errors, and encoding issues • Deliver a concise data dictionary so I can see how each original column mapped into the final table Accuracy matters more than speed; however, once the structure rules are locked, ...

I want to turn my raw market-trends data into clear, action-ready insights with the help of a custom AI assistant. The core requirement is data analysis: the system should ingest whatever format I send—usually CSV and Excel dumps, occasionally a direct database export—and automatically clean, analyse, and visualise the material so that I can spot patterns, outliers, and emerging opportunities at a glance. I expect the workflow to be fully automated once a file is dropped into a designated folder (or a table is updated). Behind the scenes you can rely on Python, pandas, scikit-learn, or similar tooling; as long as the final solution is reproducible and easy for me to extend, the choice of libraries is up to you. I’m comfortable running scripts locally, but a lightweight w...

J’ai plusieurs jeux de données marketing que je souhaite exploiter plus efficacement. Votre mission : • Nettoyer et mettre en forme les fichiers bruts (une partie saisie de données peut être nécessaire pour combler les manques). • Réaliser une analyse des tendances sur ces données à l’aide de R : détection des pics ou creux de performance, saisonnalité, corrélations notables et segmentation pertinente. • Produire un rapport synthétique avec graphiques clairs (ggplot2 ou équivalent) et recommandations exploitables pour mes prochaines campagnes. Je fournis les fichiers CSV et la structure attendue ; vous livrez le script R commenté, les visualisations exporté...

I’m looking for a reliable virtual assistant who can log in every day and take complete ownership of our applicant-facing email inbox. Each message that arrives from candidates responding to our job board ads needs a prompt, professional reply that follows the template and tone I’ll provide. You’ll be expected to: • Check the inbox at the agreed-upon times (twice daily to start). • Send the correct response template, personalizing names and any requested details. • Flag unusual or high-priority messages for me in a separate folder so nothing slips through. • Keep a quick tally on a shared Google Sheet so I can see daily volume and any follow-ups required. Everything happens in Gmail and Google Workspace, so confidence with labels, filters...

**Description:* I am looking for an experienced freelancer in data scraping / data extraction to build a database of professional contacts in the real estate sector in France. **Data to extract:** * Company / agency name * First name & last name (if publicly available) * Professional phone number * Professional email (if available) * City / location * Type of business (agency, developer, notary, independent agent) --- **Deliverables:** 1. Clean dataset in **Excel format (.xls)** 2. Functional and reusable Octoparse workflow (.otd file) 3. Short explanation on how to rerun and adjust the workflow (filters, locations, etc.) **Requirements:** * Only publicly available professional data * Structured and stable workflow (pagination, detail pages, error handling) * Reusable solution *...

I need a daily table extracted from a newspaper website I subscribe to. The table's position changes daily, but the format and headings remain consistent. I also need a year's worth of this data historically. Requirements: - Extract data in Excel format - Access via web browser - Automate extraction for daily updates Ideal Skills: - Web scraping - Experience with automation tools - Proficient in Excel data formatting - Ability to handle dynamic web content Please provide samples of similar work.

I need a clean, one-time extraction of every registered agent listed on the Kerala RERA portal. The scope is limited to the publicly displayed agent name plus all available contact details—phone numbers, email addresses, and office addresses. No licence-status fields or property listings are required. Any stack is fine—Python (BeautifulSoup, Scrapy, Selenium), Node.js, or a headless browser workflow—as long as it handles pagination, hidden rows, or JavaScript-rendered tables and respects polite scraping practices. Deliverables • An Excel workbook (.xlsx) containing one row per agent and clearly labelled columns for Name, Phone, Email, and Address • Data fully deduplicated, UTF-8 compliant, and free of blank placeholders • A short note on the appro...

I have a dataset made up entirely of categorical variables and I want to understand the hidden relationships inside it. The task is strictly exploratory: I am not asking for predictive modelling, only a deep dive that surfaces meaningful patterns and trends. What I expect from you • Clean the data where needed so that the exploratory work is reliable. • Use suitable techniques for categorical exploration—cross-tabulations, chi-square tests, association rules, clustering on encoded variables, or any other method you feel is insightful. • Present the findings in clear, non-technical language supported by concise visuals (bar charts, heat-maps, mosaic plots or similar). • Provide a short, well-commented notebook or script (Python with Pandas, NumPy, SciPy, s...

I need help extracting and analyzing numeric data. Key Requirements: - Extract numeric data from a specified source (to be confirmed) - Analyze the extracted data for insights Ideal Skills and Experience: - Proficiency in handling data extraction tools - Experience with data analysis - Familiarity with at least one DBMS (MySQL, PostgreSQL, or SQL Server) - Attention to detail and accuracy Please provide your approach and relevant experience. Looking forward to your bids!

I have a sizable dataset that first needs to be cleanly extracted and then thoroughly analyzed. Because the information comes from multiple sources, I will provide a mix of Excel/CSV tables, a small hosted database dump, and several raw text exports. Your role starts with consolidating these inputs into a single, well-structured dataset, handling any duplicates or inconsistencies along the way. Once the data is tidy, I would like meaningful insights that help me understand underlying patterns. I’m especially interested in spotting emerging trends, assembling a clear, reader-friendly report, and—if the data supports it—building a simple predictive model that I can run again in the future. Please outline the statistical or machine-learning techniques you feel are most appr...

This assignment is a hands-on data assessment and evaluation. It exposes you to the various steps that data analysts go through when they receive a dataset. This is an individual assignment. Each student is expected to complete the assignment and submit their own work. Assignment Deliverable The submitted report should include a detailed discussion of the techniques you used to answer each question (see below). Include only relevant graphs and tables along with a thorough interpretation of each. Graphs and/or tables with no explanation/interpretation will not be graded. Hand in your work in a Word or PDF format. Dataset for the Assignment Download the (see attached file) It has a sample size of 70. Assignment Objective The main objective of this assignment is to develop a better under...

We're seeking a data-driven Shopify expert to optimize our high-revenue anime jewelry brand and build a comprehensive loyalty and subscription program. What you'll do: - Build, launch, and optimize a highly engaging customer loyalty and VIP rewards program - Architect and manage a new jewelry subscription tier - Analyze user behavior and Shopify analytics to identify and fix conversion bottlenecks - Manage and oversee the loyalty program, optimizing sign-up rates, reducing churn, and increasing LTV Requirements: - Extensive experience developing and managing loyalty programs for e-commerce - Must have worked with $1M+ revenue e-commerce brands - Proven track record of improving customer lifetime value for Shopify stores - Deep knowledge of implementing and managing Shopify loya...

Acquisition Target Sourcing — Home Service Businesses, Southeastern U.S. About Us Genii Group Inc. is acquiring Baby Boomer-owned home-service businesses across the Southeastern United States. We focus on profitable, operationally sound companies whose founders are approaching retirement without a defined succession plan. We are a platform builder, not a turnaround buyer — we pass on more than we acquire. The Role We are hiring a freelance deal sourcer / skip tracer to sit at the top of our acquisition funnel. Your job is to identify and qualify acquisition targets that fit our buy box, verify owner contact information, and deliver a clean, standardized batch of leads every week. Strong leads advance into our evaluation and due diligence pipeline; weak leads waste everyone�...

I'm looking for an expert in SPSS to perform descriptive statistics on a mixed dataset (both categorical and numerical). The data is sourced from existing secondary datasets. Ideal Skills and Experience: - Proficiency in SPSS - Strong background in statistics, particularly descriptive statistics - Experience working with both categorical and numerical data - Familiarity with handling and analyzing secondary data If you have a keen eye for detail and can deliver accurate and insightful statistical summaries, I'd love to hear from you. Please provide examples of similar work done in your bids.

Analista de datos / Business Intelligence Buscamos a un perfil de analista de datos, con capacidad para entender las necesidades del cliente, explorar las fuentes de datos existentes, definir KPIs de negocio a partir de los dos puntos anteriores y validar los resultados obtenidos. En nuestros proyectos, el tratamiento del dato casi siempre tiene algún elemento poco convencional: detectamos patrones con Machine Learning, reconocemos objetos en imágenes, sintetizamos información mediante AI (Inteligencia Artificial) y modelos LLM, ¡e incluso trabajamos audio! No se precisa conocimiento en detalle de todas estas tecnologías, sino entender la implantación de soluciones de datos de principio a fin y pueda coordinarse con otros compañeros para ...

Hi, I need to send a form message to all listings in all states - Here's directory - Data will be the same for all forms

Project Title: Large-Scale Course Data Scraping from Udemy, Coursera, and YouTube Project Overview: I am looking for an experienced data scraping specialist who can collect a large dataset of online courses and tutorials from platforms such as Udemy, Coursera, and YouTube. The dataset should include both technical and non-technical tutorials. The objective is to build a structured dataset that can be used for research and analytics purposes. Project Requirements: The freelancer will scrape approximately 200,000 course/tutorial records from the following platforms: - Udemy - Coursera - YouTube The collected dataset should contain the following information for each record: 1. Course / Tutorial Title 2. Course URL / Video URL 3. Platform Name (Udemy / Coursera / YouTube) 4...

Project Title Apartment RWA Database (Bangalore & Gurugram) with Verified Contact Details – Fixed Budget Project Overview We are hiring an experienced data researcher to build a high-quality database of apartment societies (RWAs) in Bangalore and Gurugram, including verified association-level contact details. This is a precision-driven research task, not bulk scraping. Accuracy and verification are critical. Scope of Work Target: Only apartment / gated societies No villas, plots, or commercial properties Cities: Bangalore and Gurugram Required Data Fields Apartment / Society Name Location (Area, City, Pincode) Google Maps Link Approx. Number of Units (if available) Contact Details (Strict Requirement): Society Office Contact Number (President / Secretary / Treasurer – ...

I’m assembling a permission-friendly contact database and need your scraping expertise to do it right. Together we’ll agree on the exact niche, then you’ll hunt down the most relevant company sites and publicly available pages, extract the key details, and hand everything back cleaned, de-duplicated, and ready for outreach. What absolutely must appear for every record is the person’s name, a valid email address, and a phone number. When the site also lists a job title or city, capture those too—they’re useful but not compulsory. I’ll be running random spot checks, so accuracy and a clear audit trail (source URLs, time-stamp, etc.) are essential. Deliverables: • An Excel workbook with separate columns for Name, Email, Phone, Job Title, City...

I have several months of raw sales data that I need turned into clear, actionable insight. The sole focus is to identify meaningful trends—seasonality, product-line performance, regional differences, and any other patterns that stand out—so I can make smarter business decisions. Here is what I will hand over: the complete sales dataset exactly as it sits today. If you are comfortable working in Excel/CSV, databases, or cloud-based tables, great—I can supply the files in whichever of those formats you prefer. Here is what I expect back: • A concise analytical report (PDF or slide deck) highlighting the key trends you discover, complete with charts or visualisations. • A clean, well-commented workbook or script so I can replicate or extend the analysis later...

I need to compile a clear, reliable picture of how female freelancers are distributed, what skills they market, typical earnings ranges, and any notable growth patterns across major regions. The job starts with data extraction: pull publicly available information from leading freelancer platforms, professional networking sites, and other open repositories. After cleaning and de-duplicating the records, the next step is to analyse the dataset—producing descriptive statistics, trend plots, and concise written commentary that highlights regional hot-spots, in-demand skill sets, and any gaps or opportunity areas. Please deliver: • A CSV or Excel file containing the raw and cleaned datasets, accompanied by a short data-dictionary. • An analytic report (PDF or slide deck) that...

SOLO HISPANOHABLANTES Necesito apoyo puntual para un trabajo universitario que debo desarrollar en R Studio. Los datos con los que trabajaré son numéricos y el objetivo es extraer información clara mediante análisis descriptivo. El entregable debe incluir: • Medidas de tendencia central (media, mediana, moda). • Medidas de dispersión (varianza, desviación estándar, rango). • Distribuciones de frecuencias con tablas y gráficos básicos en ggplot2 o herramientas nativas de R. También requiero: – Código bien comentado en un script .R para que pueda reproducir cada paso. – Breve informe en PDF o Word explicando los resultados y su interpretación académica. – Ses...

Customer Churn Analysis & Prediction Project Overview Conducted an end-to-end Customer Churn Analysis project to identify patterns and predict customer attrition. Focused on both data exploration (EDA) and machine learning modeling to generate actionable business insights. Aimed to help businesses reduce churn, improve customer retention, and increase profitability. Dataset Details Dataset includes customer demographic, financial, and behavioral features: RowNumber, CustomerId, Surname CreditScore, Geography, Gender Age, Tenure, Balance NumOfProducts, HasCrCard, IsActiveMember EstimatedSalary Target Variable: Exited (Churn Status) Tools & Technologies Python Libraries: pandas, numpy (data processing) matplotlib, seaborn (data visualization) scikit-learn (ML modeling) Advanced Te...

I need a skilled web scraper to gather phone contact information for sales inquiries. This data will be used primarily for leads generation. Key requirements: - Scrape phone contacts from specified sources

Job Title: Build Bond Price Research System Using BigQuery and Machine Learning Job Description: We are seeking an experienced freelancer to develop a Bond Price Research System based on client requirements. Commbined with Machine Learning to enable powerful search, analysis, and insights into bond prices. Project Scope: - Design and build a scalable research platform for searching and analyzing bond price data (government bonds, corporate bonds, etc.). - Store and query large volumes of historical and current bond data in BigQuery. - Integrate Machine Learning models to support price analysis, trend detection, forecasting, and other research features. - Customize the solution according to the client’s specific needs. Key Requirements: 1. Technical Skills (Required): - Strong...

We are seeking a skilled data analyst to assist with the following tasks: - Data cleaning and preprocessing, including handling missing values and duplicates. - Conducting Exploratory Data Analysis (EDA) to identify trends and actionable insights. - Building interactive dashboards and reports using Power BI. - Generating actionable business insights to support decision-making. Preferred Tools/Software: - Excel (advanced formulas, pivot tables) - SQL (data extraction and querying) - Python (Pandas, NumPy, Matplotlib) - Power BI The project is expected to be completed within 2 to 3 weeks, depending on complexity. The fixed budget for this project is ₹20,000, with slight flexibility based on scope and quality.

I’m looking for a fresh 2026 updated dataset of U.S. residential contacts that I can drop straight into my campaigns without worrying about bad emails or dead phone numbers. The file must cover every state and include only individuals aged 45 or older. For each contact I need a full name, a working email address, and a reachable phone number. Approx data count according to the USA demographics should be around 100-120 millions I’ll be running the list through ZeroBounce and similar verification tools, so I expect a true 0 % bounce rate. Please deliver everything as a statewise well-structured CSV so I can import it immediately. Deliverables • One/Multiple CSV containing validated records (name, email, phone, age 45+) for all 50 states • Verification repo...

I need a Python program to automate KYC information updates on the Oracle CCB website. The fields to be updated include: - Identity Information - Address Details - Contact Information The data for KYC updation will be provided via manual entry. Ideal Skills and Experience: - Proficient in Python - Experience with web automation (e.g., using libraries like Selenium) - Familiarity with Oracle CCB - Strong understanding of KYC processes and data handling - Ability to create user-friendly input interfaces for manual data entry Please ensure the solution is secure and reliable.

We're putting together a brand-new database of private homeowners who have a swimming pool on their property and we need your help compiling it from scratch. The scope is truly worldwide, so we're not limiting you to any single country or region; wherever reliable data exists, we want it captured. For every record you collect we require following fields mandatorily. • Full name • Email address • Mobile or landline number • Country • Home address (street, city, state/region, postal code) Please provide the finished list in a clean spreadsheet or CSV that we can sort and filter easily. We will spot-check a sample of the contacts against publicly available sources, so only submit information you have personally confirmed. If you have experience build...

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 ...

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, ...