Most Companies Already Got Burned by Their Own AI Agents.
Most enterprises already had an AI agent security incident. Here's why hiring a human for oversight still beats trusting the agent alone.
Data Mining is the process of collecting and analysing data sets to identify previously unknown patterns, correlations and trends. By using various techniques from statistics and probability to algorithms, data markets leverage data collection technology to extract interpretable insights from unstructured data. Data Mining also provides predictive analytics capabilities which can be used in a variety of industries such as market research, customer relationship management and risk management.
Data Mining experts with experience in market research, customer relations, analytics and machine learning are in high demand right now. They are able to quickly discover the hidden “gold” in large sets of data and help companies extract richer insights which they can use to make more informed decisions.
Here’s some projects that our expert Data Mining Experts have made real:
Data Mining helps clients unlock their full potential by giving them access to powerful insights which would otherwise be inaccessible. By leveraging Data Mining Experts on Freelancer.com, clients can get their own projects done to suit their own individual needs. We invite you to post your project today on Freelancer.com and hire an expert Data Mining Expert to help you with your needs.
Fra 159,401 tilbakemeldinger, klienter rangerer våre Data Mining Experts 4.92 av 5 stjerner.Data Mining is the process of collecting and analysing data sets to identify previously unknown patterns, correlations and trends. By using various techniques from statistics and probability to algorithms, data markets leverage data collection technology to extract interpretable insights from unstructured data. Data Mining also provides predictive analytics capabilities which can be used in a variety of industries such as market research, customer relationship management and risk management.
Data Mining experts with experience in market research, customer relations, analytics and machine learning are in high demand right now. They are able to quickly discover the hidden “gold” in large sets of data and help companies extract richer insights which they can use to make more informed decisions.
Here’s some projects that our expert Data Mining Experts have made real:
Data Mining helps clients unlock their full potential by giving them access to powerful insights which would otherwise be inaccessible. By leveraging Data Mining Experts on Freelancer.com, clients can get their own projects done to suit their own individual needs. We invite you to post your project today on Freelancer.com and hire an expert Data Mining Expert to help you with your needs.
Fra 159,401 tilbakemeldinger, klienter rangerer våre Data Mining Experts 4.92 av 5 stjerner.I have worked on multiple AI data generation and model evaluation projects involving both Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). My work included designing high-quality prompts, analyzing model responses, identifying reasoning and factual errors, and creating golden responses that served as the expected reference outputs. I worked extensively with repository-based tasks using Cursor, where I understood large codebases, executed run scripts, analyzed parse scripts, and validated both Pass-to-Pass (P2P) and Fail-to-Pass (F2P) test cases to ensure the generated solutions were functionally correct. I also reviewed code quality, verified outputs against expected behavior, and ensured compatibility with existing repositories. For tool-use and agenti...
I need a real-time data pipeline that ingests tick-by-tick football information from the Betfair API for each match taking place in the top five European leagues (Premier League, La Liga, Serie A, Bundesliga, Ligue 1). The feed must rely exclusively on this API—no scraping—so skill with Betfair’s Streaming or Historical service is essential. The stream should enrich every tick with contextual match metadata and persist it in an easily queryable store (PostgreSQL, parquet on S3, or a solution you propose). Low-latency processing is critical; sub-second lag from the API to storage is my target. I plan to run the pipeline on AWS, so please factor in services such as Kinesis, Lambda, Fargate or similar if they fit the design. Deliverables • Codebase (Python preferred...
I need a lean MVP that automatically hunts for conversations where my web app can be mentioned in a helpful, brand-building way. The workflow is straightforward: 1. Crawler • Scan Reddit plus Google News (blogs and articles surfaced). • Harvest threads and comments. 2. AI Scoring • Rank each conversation primarily on its relevance to the app and the overall popularity of the post or thread. • Ignore low-signal chatter; keep only high-potential mentions. 3. Drafting Replies • Use an LLM to generate a concise, promotional reply that feels organic and value-adding, not spammy. 4. Dashboard Review • Queue the top-scoring replies in a simple web dashboard. • I must be able to edit any draft before it goes live and q...
I’m organizing a 10-day, full-day Java Data Structures & Algorithms program in Chennai from 20 July to 30 July and need a trainer who can be on-site for the entire duration. Here’s what I’m after: • Content scope: please be ready to teach both basic concepts (arrays, stacks, queues, linked lists, trees, graphs, sorting/searching fundamentals) and advanced algorithms (dynamic programming, graph algorithms, greedy techniques, complexity analysis, etc.). • Mode: the sessions are strictly in-person; interaction and live problem-solving are key. • Experience level: an intermediate profile is ideal—someone confident enough to explain concepts clearly yet relatable to participants who may still be grasping the fundamentals. Trainers, freelancers...
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I am looking for someone to help with data entry for a finance-related project. The data entry task involves both numeric and text data, and the data will already be provided. I need someone who is highly organized and able to complete this project in a timely manner. Accuracy and attention to detail are also very important in order to ensure the project is done correctly and efficiently. If you are interested, please contact me to discuss the project further. Thank you!
I'm looking for a skilled Python data engineer to help with several data processing tasks. The data is primarily sourced from procurement websites. Key Responsibilities: - Data cleaning and transformation - Integration of data from multiple sources - Building robust data pipelines Specific transformations required: - Data formatting - Data enrichment - Data aggregation Ideal Skills and Experience: - Proficiency in Python and data engineering tools - Experience with SQL databases, APIs, and CSV/Excel files - Strong background in data cleaning, transformation, and pipeline construction - Familiarity with procurement data is a plus Looking for someone who can efficiently handle complex data tasks and deliver clean, integrated datasets. In-house job in Kolkata preferred
Extract from Business Network(see attached file-Must match what we ask 1:1 and or give us suggestions based on that) based on profile of professional as any emails and link to their profile in a spread sheet any of the words attached HAS TO BE APPEAR in their profile description , otherwise we wont accept the record Give us a quote for 5000 emails , 10000 emails and 100,000 emails , Etc. We prefer accurate and fast extraction tools for these sites Each entry in a spreadsheet with the fields: Name, Email address, link to profile, Keyword found in profile (has to be any of the list attached) We need it in 1 Week you can start with 5000 email /records your delivery is an excel spread sheet based on what we asked in this project description box and what was attached for this pro...
I need a steady stream of fresh records—no fewer than 1,000 complete entries every single day—added manually to our online database. Each record combines both text and an image, gathered from the sources I will supply. What every entry must include: • Contact details (name, email, phone when visible) • Core product information (title, brief description, price or SKU) • A representative image, saved or linked exactly as found • A snapshot of current social-media activity (profile URL, follower count, last post date) You will key everything directly into our form or push it via CSV, keeping field order intact and avoiding duplicates. I run daily audits; incomplete or inaccurate items are removed from the count, so precision is as important as hitting t...
I need help pulling strictly numerical data from a handful of online databases and entering it into a spreadsheet template I will supply. Everything you collect will come directly from those databases—no PDFs, scans, or web-scraping from regular sites—so the task is about careful extraction, accurate transcription, and a quick cross-check rather than guessing or reformatting text. You will log in, locate the specified tables or dashboards, copy the required figures (row by row), and paste them into the correct columns of my Excel/Google Sheets file. A few fields may require you to apply the database’s built-in filters or basic calculations before recording the result, but there is no heavy analysis involved. Deliverable • A fully completed spreadsheet with every ...
I need help collecting data from clinical letters. The data includes: - Patient information - Diagnosis details - Treatment plans The extracted data should be delivered in a spreadsheet format. The clinical letters will be provided as digital text files. Ideal skills and experience: - Experience with data extraction and processing - Proficiency in spreadsheet software (e.g., Excel, Google Sheets) - Attention to detail and accuracy
I need all gym and fitness centres in USA if anyone already have prebuild data list for second sale pls place your bid with sample and total count
I need a clear-cut market area analysis centred exclusively on customer demographics, with income levels as the key metric. The purpose is to define the real-world catchment zone around my retail site, quantify its buying power, and visualise that data on an easily shareable map and concise slide deck. Here’s the flow I have in mind: • You delineate the catchment area (3km radius) using reliable GIS tools such as GapMaps, QGIS, ArcGIS or equivalent Python workflows. • You pull current demographic datasets for that footprint, summarising household income levels (median and segmented SEC tiers) as the primary metric, along with an age group breakdown (specifically highlighting the 18–45 adult demographic density). • You present the findings in two formats: a ...
B2B/B2C Lead Generation Specialist – Dubai Real Estate Market We are seeking an experienced, data-driven Lead Generation Specialist to build a pipeline of high-intent buyers and international investors looking to purchase real estate in Dubai. The goal of this project is to discover, extract, and vet target audiences (High-Net-Worth Individuals, expat buyers, and institutional investors) using purely digital, compliant, and modern extraction techniques. Key Responsibilities Targeted List Building: Source and compile verified leads (Name, Email, Phone, LinkedIn Profile, Country of Residence) focusing on international investors (GCC, UK, Europe, India) and local high-earning expats. Data Scraping & Mining: Legally scrape and extract public contact data from professional networks (...
I’m running several CPA campaigns and I need a fresh batch of email contacts that are guaranteed to pass Debounce (or an equivalent) with a very low bounce rate. The focus is strictly on email leads sourced from two places: reputable business directories and well-known e-commerce sites. Here’s what success looks like for me: • You pull the data ethically and accurately, respecting each site’s terms. • Every address is verified through Debounce (or a comparable validator) before delivery. • Final output arrives in a clean CSV or Excel file with, at minimum, email, source URL, and any publicly available name or company field you can capture. If you already have an efficient scraping workflow—Python + Scrapy/Selenium, Octoparse, Apify, etc.&m...
I require a fresh, accuracy-checked database of senior Swedish professionals—CEO, CFO, CIO, CTO, COO, Founder, CHRO, CMO and Sales Manager roles—spanning all sectora. The file must pair each contact with the official Swedish company registration number (organisationsnummer) of their current employer; I will validate this against Bolagsverket, so consistency is critical. Please source data from companies of every size, from startups through to large listed enterprises, and verify that every email is deliverable (no hard bounces). GDPR compliance and transparent data provenance are mandatory. Deliverables • CSV or Excel file containing: Full Name | Job Title | Work Email | Company Name | Company Registration Number • Bounce-rate guarantee below 5 % • Short n...
I already have a starter sheet with 300 Instagram profiles; I now need that list grown to 1,000 solid contacts. The focus is very specific: female models or single women aged 30–50 who live and work in the greater-DC, Northern Virginia, and Southern Maryland area (the DMV). I will share a few sample profiles so you can see the exact vibe and quality I’m after. Your search must stay on Instagram for this first phase and favour accounts that show real, active engagement on recent posts—empty-like or bot-driven pages won’t make the cut. When you find a match, add her details to the existing Google Sheet so everything stays in one place. Deliverables (Phase 1) • Google Sheet expanded from 300 to 1,000 entries • Columns: I will provide If the list mee...
Swiggy Sales Data Analysis Analyzed a large Swiggy orders dataset (196K+ records) using SQL and Python. Performed data cleaning, handled missing values and outliers, and conducted exploratory data analysis to identify sales trends, customer behavior, restaurant performance, and order patterns. Created visualizations and generated actionable business insights to support data-driven decision-making. Blinkit Sales Dashboard (Power BI) Designed an interactive Power BI dashboard to analyze sales performance, product categories, outlet performance, and customer purchasing trends. Used Power Query for data transformation and DAX measures to calculate KPIs, enabling stakeholders to monitor business performance effectively. Used Car Price Prediction Built a machine learning regression model in Pyth...
Project Brief: B2B Lead Generation for Indian Flexible Packaging Sector Project Overview: This project focuses on mining targeted B2B contact data within the flexible packaging manufacturing industry in India. The goal is to build a high-accuracy database of key decision-makers and technical heads to support targeted sales and marketing campaigns. Deliverables: - Data collection for 250 accounts within 10-12 days. - Focus on gathering details of professionals working in technical, production, and maintenance roles within the Flexible Packaging Manufacturing sector. Required Data Fields: 1. Company Info: - Account Name - Website URL - Physical Address (City included) 2. Contact Info: - Contact Person’s Name - Job Title - Verified Corporate Email Address - Mobi...
Internet Research & Lead Generation Specialist Needed We are looking for a reliable internet researcher to build a verified database of companies and key decision-makers. **Responsibilities** * Research companies based on provided criteria * Collect publicly available company and contact information * Verify accuracy of all data * Deliver the results in Excel **Required Data** * Company Website * business or decision makers email * * Manual research only * No scraping or fabricated data * No duplicates **Initial Project:** 1000 verified records, with the possibility of long-term work. **Important:** The exact industry, target domain, and detailed project scope will be shared only with interested bidders via direct messages (DMs). Please include your experience, delivery tim...
Internet Research & Lead Generation Specialist Needed We are looking for a reliable internet researcher to build a verified database of companies and key decision-makers. **Responsibilities** * Research companies based on provided criteria * Collect publicly available company and contact information * Verify accuracy of all data * Deliver the results in Excel **Required Data** * Company Website * business or decision makers email * * Manual research only * No scraping or fabricated data * No duplicates **Initial Project:** 1000 verified records, with the possibility of long-term work. **Important:** The exact industry, target domain, and detailed project scope will be shared only with interested bidders via direct messages (DMs). Please include your experience, delivery tim...
**Project Title:** Data Processing & Cleaning Script using Python (Pandas / NumPy) **Project Description:** I am looking for a skilled freelancer who can develop a robust and efficient data processing script using Python. The main goal of this project is to clean, transform, and analyze raw datasets to make them ready for further analysis and visualization. **Key Requirements:** * Load data from CSV / Excel files * Perform data cleaning (handle missing values, remove duplicates, fix data types) * Standardize column names and formats * Handle inconsistent or incorrect data entries * Perform basic transformations and feature engineering * Generate summary statistics and insights * Output clean dataset in CSV / Excel format **Technical Skills Required:** * Python * Pandas, NumPy * Da...
I have a collection of unstructured data that needs to be mined and modelled in R so I can reliably forecast future trends hidden inside it. Your task is to walk the data through the full mining pipeline—from cleaning and feature extraction to model selection, validation, and interpretation—while grounding every step in fundamental data-mining principles. The work centres on: • Ingesting and preprocessing raw, unstructured text or mixed-format inputs. • Applying appropriate R packages (tidyverse, text mining suites, caret, or any other you feel is best) to transform the data into an analysable structure. • Building and evaluating predictive models that reveal upcoming patterns or shifts I can act on. • Supplying reproducible R scripts/notebooks, c...
I need a meticulous pair of eyes—and hands—to bring together data from more than ten Excel sheets into one master workbook I will provide. Each source sheet carries a mix of plain text and live formulas, so every entry must be pasted or re-typed exactly as it appears, without disturbing any existing calculations. The template you’ll receive shows the precise column order. Simply populate it, keep all spacing, spelling, and capitalization intact, then run a full sweep for duplicates: flag them clearly, confirm counts with me, and remove any I approve for deletion. Nothing should be lost or unintentionally altered; a single stray character compromises our internal search results. When the import is complete, send me: • The updated master workbook, formulas functionin...
I need a freelancer to convert a Betfair horse racing predictions model from CSV format. The current CSV file, sourced from third-party software, contains the following columns: - Meeting and race number - Horse name and BSP - Rating prices (needs to be in descending order) The final output should have these columns properly formatted and organized. Ideal skills and experience: - Proficient in handling and manipulating CSV files - Familiarity with horse racing data - Experience with data processing from third-party software Looking for someone with attention to detail and experience in data formatting.
Build 1,000 UK driveway and patio contractor leads with owner/director mobile numbers I need a ready-to-call list of 1,000 active UK companies in the driveway, patio, paving, resin-bound and landscaping industry. This must not be a simple Google Maps scrape, recycled database or basic Apollo export. The main priority is accurate UK mobile numbers for business owners, directors or managing directors, with a high chance that the decision-maker personally answers. Each lead should include: * Company name * Website * Owner/director full name * Job title * Direct mobile number * Main business number * Town/city * Email where available * Company registration number where available Only include companies that: * Are actively trading in the UK * Clearly offer driveways, patios, paving, resi...
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