Extracción de datos Jobs

Requiero un profesional con experiencia en Inteligencia Artificial aplicada, específicamente en el uso de Redes Neuronales Artificiales (ANN) para el modelamiento geoquímico de suelos. El trabajo consiste únicamente en desarrollar la parte práctica/experimental, lo cual incluye: Procesamiento y limpieza de una base de datos geoquímica. Construcción del modelo ANN (configuración, entrenamiento y validación). Generación de métricas de rendimiento (RMSE, MAE, R²). Validación del modelo mediante train–test o k-fold. Elaboración de gráficos (predicho vs. observado, curvas de pérdida, etc.). Interpretación de resultados.

I have a raw sales dataset covering several regions and product lines, and I need a clear descriptive analysis that tells the story of what has happened so far. Your task is to clean the data, calculate the key metrics (totals, averages, YoY and MoM growth, seasonality, top-performing SKUs, regional splits), and present the findings in an easy-to-digest format. Because this is strictly a descriptive project—no predictive or prescriptive modeling—clarity and accuracy matter more than complex algorithms. A well-structured SQL query, Python (pandas, matplotlib, seaborn) or R (dplyr, ggplot2) workflow is fine, as long as I can rerun it with future data. Please draw on your experience with similar sales data projects when you respond; that will be the deciding factor. Deliverables...

I need a freelancer to create pie charts and bar graphs to visualize sales data from an Excel sheet. Requirements: - Visualize revenue by product - Group data by individual products Ideal Skills and Experience: - Proficiency in Excel - Experience with data visualization - Ability to create clear, informative charts and graphs

I’m putting together a database of 100,000 Presidents/CEOs, Owner or Founders. For every record, I need a valid and up to date Full name of each executive and their domain. To make sure we’re on the same page, here is what I expect to receive: • One CSV or Excel file containing exactly 100,000 unique rows • Columns: Full Name | Domain • All executives must hold a President/CEO, Owner and Founder title • Domains must resolve to active company websites and must not be free-mail providers • The database should be U.S only. If you already maintain or can rapidly build such a list, let me know your approach, typical turnaround time, and any data sources you rely on so I can gauge accuracy.

Project Search Data Analyst: Project Summary: We are seeking contributors to participate in a search data analyst project aimed at improving e-commerce search quality across multiple international markets. This is a remote, task-based project suitable for individuals with a strong command of the English language and an eye for detail. Your input will directly influence the quality of search algorithms used in retail and e-commerce environments. Project Objective: The project’s main goal is to build high-quality, human-labelled datasets that help evaluate and improve the performance of e-commerce platforms. These datasets will be used for machine learning model training, benchmarking, and metric development across diverse global markets. Key Responsibilities – Evaluate the re...

I need to lay the digital foundation for our motorcycle-parts store by turning the catalogues of our suppliers into a clean, reusable database. Phase 1 focuses on the full product catalogue of MRM; Phase 2 will add Alessia and any other future sources that use a similar structure. Core tasks • Write reliable scraping scripts (Python + Scrapy/BeautifulSoup/Selenium—choose the stack you master) that log in if required, paginate, and pull every product. • Extract every field we rely on: description, SKU, and the complete compatibility matrix (brand, model, year). • Download all images, rename them by SKU, and deliver them in a single, well-organised directory tree. • Clean and normalise the raw data, then export to a single master table structured by SKU. ...

The goal is to extract every publicly available record behind the “Corporation Search / By FEI Number” section at and leave me with a clean, well-structured CSV. • Coverage must be complete—active,(ONLY ACTIVE) inactive, domestic, foreign, all FEI ranges—so expect millions of rows. • The final CSV (or split CSVs) should include every field shown on the detail pages: FEI/EIN, document number, entity name, status, address block, filing dates, last event, registered agent data, and any other metadata that appears. Consistent headers, no duplicate rows, no embedded line breaks or HTML entities. • A reproducible solution is essential. Please hand over the scraper or ETL script (Python, Node, or similar), a brief README, and the compressed CSV output...

Role: Full-Time Data Analyst & Web Scraper Company: Beauty Tech startup Location: Remote Type: Full-Time About the Role We are building one of the largest beauty product databases. We need a skilled Data Analyst with strong web-scraping expertise to extract product information from multiple websites, clean the data, and prepare structured outputs for our internal pipeline. This is a hands-on technical role. Responsibilities: Scrape product pages from beauty, skincare, and supplement websites Extract structured data: ingredients, descriptions, barcodes, SKUs, product images, etc. Use Python scraping frameworks (Requests, BeautifulSoup, Playwright/Selenium) Clean and normalise text-based data Generate CSV/Excel outputs based on strict schema Identify duplicates, missing ...

We are seeking a skilled freelancer to develop a spam email detection system using computer vision techniques. The scope includes model development, evaluation, and documentation using a public dataset. Deliverables should include a fully functional model, detailed evaluation metrics, and comprehensive documentation for implementation. The project must be completed within 2 weeks. Ideal candidates should have experience in computer vision, machine learning, and handling datasets.

Project Online Ecommerce Data Analyst: Project Summary: We are seeking contributors to participate in a search data analyst project aimed at improving e-commerce search quality across multiple international markets. This is a remote, task-based project suitable for individuals with a strong command of the English language and an eye for detail. Your input will directly influence the quality of search algorithms used in retail and e-commerce environments. Project Objective: The project’s main goal is to build high-quality, human-labelled datasets that help evaluate and improve the performance of e-commerce platforms. These datasets will be used for machine learning model training, benchmarking, and metric development across diverse global markets. Key Responsibilities – Evalu...

I’m looking for a ready-to-use contact database containing between 3,000 and 15,000 field technicians who can provide on-site L1 and L2 desktop-and-network support in major North American, European, and Asia-Pacific cities. The engineers on your list must be able to handle software installation and troubleshooting, network setup and configuration, as well as hardware diagnostics and repairs during physical visits for dispatch tickets. The file should be delivered in a clean Excel or CSV format and include, at minimum, the technician’s name, skill level (L1 or L2), primary city, country, email, phone or messaging handle, and a note on their typical response time or availability. Records verified or updated within the past 12 months are strongly preferred so I can activate them ...

I’m compiling a focused literature dataset and need an experienced researcher to handle the search, screening, and data-extraction workflow for me. You will run keyword searches in both Scopus and Compendex (EI Compendex), apply a relevance-to-topic filter that I’ll define up front, and then pull the essential bibliographic details into neat, well-labeled tables. The process I expect is straightforward: • Search Scopus and Compendex with the exact keyword strings I provide. • Screen each hit for topical relevance only—date range or document type limits are not required at this stage. • Capture key fields (at minimum: title, authors, source, year, DOI or accession number, and abstract snippet) and place them into a structured spreadsheet so each column...

I need an automated workflow that will collect roughly 60,000 fresh, accurate email records from colleges and universities across the USA and Canada. Each record must include first name, last name, job title, institution, and a clear source link or citation so I can validate the data later. My primary focus is on faculty and staff—specifically professors, administrators, and librarians—though I have a master list of about 200 related titles that I will share once we begin. Only these titles or close equivalents are acceptable; the titles are relatively common. You may pull from any legitimate channel that delivers reliable contact details: direct university websites, public directories, or subscription databases are all acceptable. What matters is that the final dataset is cle...

I have the classic MNIST handwritten-digit dataset and I want to run a clean, well-documented K-Means clustering experiment on it. The specific objective is to group the images so that each cluster is represented by its medoid example, giving me an intuitive “prototype digit” for every group. Please set up the full pipeline: load the raw 28×28 pixel data, perform the K-Means algorithm, extract the medoid of each cluster, and visualise both the medoids and a sample of their nearest neighbours. Include a short quantitative evaluation (e.g., inertia, silhouette, or any metric you feel is appropriate for Euclidean K-Means on image data) and a brief discussion of cluster quality. Deliverables • A reproducible Jupyter notebook (Python, NumPy/SciPy, scikit-learn, Matplot...

I need a comprehensive contact database created using a spreadsheet (e.g., Excel). Requirements: - Approximately 250 entries - Cross-check information across the internet and other sources - Include full contact details: name, email, phone, address - Add job title for each contact Ideal Skills and Experience: - Proficiency in Excel or similar spreadsheet software - Strong attention to detail - Experience in data entry and research - Ability to follow clear instructions and meet deadlines

I run an FX Copy Trade service and want its Telegram channel to become the main conversion engine for new copiers. Your core mission is to promote the service itself while naturally growing the audience and keeping existing members active. Twice a week you’ll craft concise, data-driven posts that pull real-time market analysis, news insights, and my fund’s latest weekly performance straight from the website. Strong copy that sparks discussion is essential, as is an eye-catching graphic or chart when the data warrants it. Alongside the in-channel work, I need smart cross-promotion on Facebook, LinkedIn, Twitter, and Instagram to funnel qualified FX and algo traders back to Telegram and ultimately into the copy program. I’m counting on your existing network, keyword resea...

I have a set of projects where I need an experienced data-miner to gather and verify customer information and accurately match the names that appear across multiple sources. Your task is to locate reliable customer data, extract the key contact details I specify (primarily full name, company, role, email, and any publicly available phone or social link), and deliver a clean spreadsheet ready for immediate use. You are free to choose whichever publicly accessible sources make the most sense—anything from social media profiles to company websites or other open records—so long as the data is up-to-date and can be validated. I place high value on accuracy, consistency, and respectful handling of personal information. Deliverables • A CSV or Excel file with the fields I out...

Ecommerce Data Analyst: Project Summary: We are seeking contributors to participate in a search data analyst project aimed at improving e-commerce search quality across multiple international markets. This is a remote, task-based project suitable for individuals with a strong command of the English language and an eye for detail. Your input will directly influence the quality of search algorithms used in retail and e-commerce environments. Project Objective: The project’s main goal is to build high-quality, human-labelled datasets that help evaluate and improve the performance of e-commerce platforms. These datasets will be used for machine learning model training, benchmarking, and metric development across diverse global markets. Key Responsibilities – Evaluate the relevan...

I need a robust big-data workflow that will let me uncover how customers across Latin America actually buy. The primary aim is to analyze customer behavior, zeroing in on purchase patterns. For phase one the only source on hand is a wide set of structured and unstructured customer surveys gathered in Spanish and Portuguese markets. The job is to clean, standardize, and load these surveys into an environment that supports high-volume processing (Spark, Hadoop, or an equivalent cloud stack you favour). Once the data is stable, I want exploratory analysis, clustering, and predictive modelling that highlight: • Which demographic segments purchase which categories most frequently • Seasonal or regional spikes in demand • Correlations between stated preferences and actual...

I have a spreadsheet of 300 Texas-based real-estate agents, each with a name and license number already entered. Your task is to return a clean, fully populated list of direct phone numbers and email addresses for those same agents. If you can put an agency or team name as well, that would be helpful. (Agency is not required for task bonus.) Where to look • Start with Facebook, as that’s proving most fruitful for direct details. • If Facebook turns up empty, move on to agent websites, recent open-house listings and reputable real-estate directories. • Feel free to widen the net—LinkedIn, Instagram, TikTok, YouTube or any other platform you know works for the industry. Quality expectations I only need you to verify information when something looks doubtf...

I have a CSV with roughly 1,600 entries. Each row holds the post time (in ISO 8601 format, e.g. 2025-01-01 20:56:35+00:00), the chart link, and the token’s initial price. The tokens live on Ethereum, Binance Smart Chain, Solana and Base. What I need is an analysis to visit every chart link, and note the local all time high of the token at the beginning of the post time. You can also automate it by code if you can. • the absolute highest price each token reached after it was called till today • the gain expressed both as “X” and as a percentage over the initial price (3.77x and 277%) • how many days (or hours, if you prefer) it took to hit that high • statistics like: tokens that never managed to trade above the initial price. (for example 15...

Connect two facebook page api feeds, 3 instagram accounts and 5 facebook groups via Api to BREVO. Set up app to filter data. Liaise with developer to connect. To provide all possible data,,photos, profiles, sentiment, ratings, and contact info, all history, location data. That can be used to mine sentiment and profile data. We need the work done bt Friday.

I need a reliable script that will pull public-record information from an ordinary county website and reorganize it so I can work with the data quickly—ideally in a clean CSV or Excel file. That date is then run through another website to further qualify it against some requirements. The first site does not provide an export function, so the scraper will have to crawl the relevant pages, capture every field that appears in the public-record tables, and normalise names, dates, and addresses before saving. However, the second site has some export capabilities. Python with BeautifulSoup, Scrapy or a lightweight Selenium setup is fine, as long as the final code is readable and I can rerun it myself whenever new records appear. Please keep throttling, polite headers and retries in mind ...

I need a fresh, accurate database of UAE-based Small and Medium Enterprises that includes direct email addresses for key decision-makers—General Managers, CEOs, CFOs, Finance Managers and other C-suite contacts. There is no industry restriction; technology, retail, hospitality and any other active sector in the Emirates are all in scope as long as the company meets the SME definition locally. The list must be: • Verified and bounce-checked within the last 30 days • Free of duplicates and role-based catch-all addresses (info@, sales@, etc.) • Delivered in CSV or Excel with separate fields for Company Name, Contact Name, Job Title, Email, Industry and City/Emirate Before final hand-over, I will spot-test a random sample for validity—records that fail will ...

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Quero criar um sistema (aplicativo de IA) que busque potenciais crescimento de cripto moedas ou moedas novas com grande potencial de valorização (faça uma busca para identificar) de preferência que já tenha experiência no mundo cripto e já tenha criado algo parecido. Esse projeto é pessoal aonde esse sistema vai fazer uma busca por todas novas criptomoedas, tokens, meme clima E dê sinais de alerta de potenciais crescimento, indicando uma oportunidade de compra.

⚠️ Important: Please quote only after reading the full proposal. The name of the target industry is clearly mentioned in the description below. ________________________________________ Description: I am looking for a highly experienced Lead Scrape Specialist to extract top-level leadership contacts from ZoomInfo, RocketReach, , LinkedIn, Lusha, Clearbit, and similar professional data platforms. This project requires one (1) verified leadership contact per company, from companies across all 51 U.S. states. ________________________________________ Data Required (per company): I need only one contact from each company, holding any one of the following designations: • CEO • Owner / Co-Owner • Founder / Co-Founder • Partner • President • Managing Director • Vi...

I’m looking for a Python-based data analyst/data scientist to help process and analyze motorsport telemetry data. The role focuses on data manipulation, math-based channel generation, anomaly checks, and producing clear Plotly visualizations. This is not a dashboard-building job—the work is task-based and processing-oriented. Motorsport or vehicle dynamics knowledge is a plus but not required. Example Types of Tasks (high-level): -Creating new calculated channels based on existing telemetry -Cleaning and correcting datasets using supporting channels -Detecting anomalies in time-series data -Identifying corner sections and driving phases -Combining datasets and aligning them -Comparing two datasets and highlighting key differences with Plotly Skills Needed: -Python (Pandas,...

I'm looking for a mobile app data scraping expert to extract information from DoorDash's mobile app. The project involves collecting the names, addresses, and contact details of restaurants that offer *reservations* in New York City and Miami. Key Requirements: - Data Extraction: Set your location to the requested city. Navigate to the Reservations tab. Choose a date in the future to maximize restaurant availability. You will need to scrape the restaurant name, rating, address, and contact details (phone ) for all restaurants on DoorDash's reservations site. Note that some results may appear in horizontal scrolling and some may appear in vertical scrolling. Please see screenshots for guidelines. - Data Formatting: The scraped data should be delivered in an organized Excel s...

Use data scraping automation, scrape a list of Estate Agents (approx 15-20k listings) Name, Address, number of properties to rent/for sale (CANT SCRAPE PHONE NUMEBR FROM PROPERTY PORTAL AS IT IS A MASKED NUMBER) Then a lookup for their website address and their phone number from the website Remove duplicates Links to scrape from: ,%20West%20Midlands&radius=40&search_source=find-agents Cities to scrape from to cover all of England: Strategic approach: For efficient coverage, I'd use a grid pattern with centers roughly 70 miles apart (allowing 10 miles of overlap between adjacent circles to ensure no gaps). North to South coverage: ~4-5 rows needed East to West coverage: ~4-5 columns needed Recommended search cities (approximately 20-25 cities): Northern tier: Newcastle, ...

Project Summary: We are seeking contributors to participate in a search data analyst project aimed at improving e-commerce search quality across multiple international markets. This is a remote, task-based project suitable for individuals with a strong command of the English language and an eye for detail. Your input will directly influence the quality of search algorithms used in retail and e-commerce environments. Project Objective: The project’s main goal is to build high-quality, human-labelled datasets that help evaluate and improve the performance of e-commerce platforms. These datasets will be used for machine learning model training, benchmarking, and metric development across diverse global markets. Key Responsibilities – Evaluate the relevance of product search resu...

I need a fresh, accurate database of UAE-based Small and Medium Enterprises that includes direct email addresses for key decision-makers—General Managers, CEOs, CFOs, Finance Managers and other C-suite contacts. There is no industry restriction; technology, retail, hospitality and any other active sector in the Emirates are all in scope as long as the company meets the SME definition locally. The list must be: • Verified and bounce-checked within the last 30 days • Free of duplicates and role-based catch-all addresses (info@, sales@, etc.) • Delivered in CSV or Excel with separate fields for Company Name, Contact Name, Job Title, Email, Industry and City/Emirate Before final hand-over, I will spot-test a random sample for validity—records that fail will ...

I am looking for a freelancer who already has access to reliable business contact databases that cover UK companies. This is a test project with a budget of 300 dollars. If the results are good we will commission a full data pull for a larger project. Sectors required Mortgage brokers in the United Kingdom Estate agents in the United Kingdom Independent DIY and hardware stores in the United Kingdom Data required for each record Contact name. Ideally the commercial director or CEO. Direct email address. If this is not available we will accept a valid office email. Company name. Sector category. Location if available. Deliverable A clean spreadsheet with as many accurate records as you can provide within the test budget. The data must be current, verified and sourced from your own lice...

ANNONCE FREELANCE – Collecte de contacts + prise de contact responsables d’admission (partenariat étudiants) Objectif de la mission Je recherche un(e) assistant(e) francophone, sérieux(se) et rigoureux(se), pour réaliser une mission en deux étapes : - Collecter les coordonnées complètes (mail, numéro de téléphone) des responsables d’admission d’environ 300 écoles et je précise bien les coordonnées des responsables d'admission - Prendre contact avec ces responsables pour leur présenter un partenariat avantageux pour leurs étudiants, en envoyant un email pré-écrit dans un premier temps - Une courte série de 5 questions à poser s...

We are looking for a highly motivated and detail-oriented Lead Generation Specialist to support the growth of our travel business. The Sangha Project Company, is a travel planning agency from India that specializes in solo, customized, group tours and retreats for international clients such as yoga teachers and wellness professionals. The ideal candidate will have proven experience in data mining and lead prospecting, with a strong ability to identify, research, and qualify potential clients and then Our sales team will connect with the leads to discuss retreat opportunities, share package details, and guide them through the next steps. In this role, you will focus primarily on finding and verifying leads for yoga trainers, yoga studios, wellness professionals, and related businesses acro...

I’m building a clean, city-level database of healthcare providers and want the information pulled directly from Google results (Maps or Search is fine). The scope is limited to three facility types—Hospitals, Chemists/Pharmacies, and Clinics—across the specific cities or regions I’ll supply once we start. The only fields I need for every record are: • Facility name • Full street address (including postcode) • Primary contact details (phone and, when visible, email) Please deliver the final data as a tidy CSV or Excel file, with consistent column headers and no duplicate entries. Python tools such as Scrapy, Selenium, BeautifulSoup or similar Google-compatible methods are welcome, provided you stay within public-data usage guidelines. I&rsqu...

I'm looking for a skilled data scientist to predict housing prices using a supervised machine learning approach. Key tasks include: - Load and explore the housing dataset - Preprocess data: - Encode categorical variables using label encoding - Handle missing values by imputing with mean or median - Split into training and testing sets - Train a Linear Regression model - Evaluate performance and visualize results Key features include area and number of bedrooms. Ideal skills and experience: - Proficiency in Python and libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn - Strong background in machine learning, particularly regression models - Experience in data preprocessing and handling missing values

Budget: $50 Time Estimate: 1-2 hours Use SQL to perform a purchasing trends analysis for Northwind Traders, a company looking to understand its most valuable customers, popular products, and seasonal order patterns. This analysis will help Northwind's sales and marketing team develop targeted strategies for customer engagement and inventory planning. Key Requirements: 1- Top Customers: Identify the top 5 customers by total order value. This will allow the sales team to recognize their highest-value customers for potential loyalty rewards. - Include the customer’s name, total order value, and number of orders placed. 2- Popular Products: Find the top 5 products by total quantity sold. This will inform the inventory team about high-demand items that need consistent stock. - Disp...

I have a raw dataset sitting in a database that I need turned into clear, insight-ready material. The first step is a Python script that connects directly to the source, pulls the data, and cleans it—handling missing values, outliers, and any structural quirks. Once the data is tidy, I want a short write-up that spells out the final sample size and the key variables you kept or engineered so my team can reproduce the work. From there, the focus shifts to trends. I’m particularly interested in consumer preference patterns over time, but I also want you to surface any other meaningful movements the data reveals. Use pandas with libraries such as seaborn, matplotlib, or Plotly to build a set of crisp, publication-quality visuals—line charts, heat maps, and whatever else bes...

I need a GPC script to automate data processing tasks. The script will primarily handle numerical data. Key requirements: - Automate data processing tasks - Handle large sets of numerical data Ideal skills and experience: - Proficiency in GPC scripting - Strong background in data processing and automation - Experience with numerical data handling Looking for an efficient, reliable solution.

Note: the photo which I have uploaded it’s an chrome extension but I need an application. I need an application that can instantly pull contact details from university websites in any country and drop them straight into an Excel workbook. The scraper must capture the following for each person it finds: email address, phone number, social media profile links, full name, affiliation, department, and the exact profile URL the data came from. My ideal workflow is simple: I point the tool at a single domain or a list of university URLs, press start, and receive a neatly formatted .xlsx file. Because institutional sites vary widely—some rely on pagination, others on JavaScript-rendered staff directories—the program should tackle both static and dynamic pages, handle moderate ...

Project: Laminate & Engineered Hardwood Flooring Data Entry Core Objective Collect laminate and engineered hardwood product data with photos from provided websites at the lowest possible price. Task Summary Manually or automatically collect flooring product information. You can use any approach (manual entry, basic scraping, automation tools) - the price must be the same (lowest possible rate). Focus on accuracy and completeness. Two Product Categories to Collect 1. LAMINATE FLOORING - Collect These Fields: Brand Product Name / Style Collection / Series Price (and Price per Sq Ft) Color Color Family / Tone Plank Width Plank Length Thickness (mm) AC Rating (AC1-AC6) Water Resistance (with hours if available) Wear Layer Thickn...