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🟩 Overview I help businesses turn complex, login-protected websites into clean, structured datasets ready for analysis. I specialize in extracting reliable data from dynamic websites, including pages with anti-bot protection and heavy JavaScript rendering. Recently completed projects: Healthcare data project: extracted 11,000+ records from a login-protected platform Investment dataset: structured 17,000+ Crunchbase records into clean CSV format I focus on delivering accurate, structured, and ready-to-use data — not raw or incomplete outputs. 🟨 What I deliver Clean, structured data (CSV / Excel / JSON) Reliable extraction from dynamic and protected websites Handling of login, pagination, and complex page structures Fast and consistent delivery (typically 24–48 hours depending on complexity) Scripts may be delivered depending on project requirements. 🟧 Tools & Technologies Python (Scrapy, Playwright, Requests, BeautifulSoup) Dynamic websites (JavaScript / React / Vue-based pages) Data extraction and cleaning workflows Automation for repetitive data collection tasks 🟦 Sample & Process I can provide a free sample (5–10 rows) within 12 hours after reviewing the target website, so you can evaluate the data quality before starting the full project. 🟩 Why me ✔ 100% Job Success Score ✔ Experience with complex and dynamic websites ✔ Structured, analysis-ready datasets (not raw scraping output) ✔ Fast and reliable communication ✔ Focus on accuracy and long-term usability 🟥 Next step Send me your website — I’ll quickly check feasibility and provide a sample before we start.

I am Seemab - a detail-oriented AI Research Engineer who utilizes the power of AI to solve complex problems. I specialize in developing efficient custom AI, Data, and software solutions. With a strong foundation in Python programming, I excel at playing with AI models and evaluating them for specific use cases. Proven experience in cloud technologies like Server-less computation, Linux Servers, and databases. Skills: AI/ML Model, Python Engineer, N8N Workflows, Automation, Data Mining Projects: OCR WebApp Snowflake warehouse remodeling. Education: BS in Computer Science

I am a PhD in Data Science with expertise in Python, machine learning, statistical modeling, and quantitative analysis. I help clients transform complex data into actionable insights through data analytics, predictive modeling, automation, and decision-support systems. My experience includes building data pipelines, developing analytical tools, conducting large-scale data analysis, and creating reproducible research workflows. Core expertise: • Python (Pandas, NumPy, SciPy, Scikit-learn) • Data Analysis & Visualization • Machine Learning & Predictive Modeling • Statistical Analysis & Optimization • Data Processing & Automation • Quantitative Research I focus on delivering reliable, well-documented, and scalable solutions that help clients solve real-world problems efficiently and accurately.

Hi, I'm Bill, an experienced developer with a strong focus on backend developing, data engineering and automation. I am experienced in developing Restful API services, data scraping & cleaning & processing, FIX protocol, multi-source data integration, tool & script developing, etc. I mainly use Java & Python & C++ & SQL & shell, and am familiar with many technologies including MongoDB, MySQL, Redis, ClickHouse, ELK(Elasticsearch&Logstash&Kibana), Kafka, Zookeeper, Docker, K8s, MQ(ActiveMQ, RocketMQ, etc), Pandas, OpenPyXL, Numpy, FastAPI, Flask, etc.

Anyone can scrape a page. The hard part — and what I do — is turning messy market data into something you can actually trade on: clean pipelines, point-in-time-correct databases, and bots that survive running 24/7. I build trading-adjacent data systems end to end: - Market data & pipelines — login-gated and JS-heavy sources, multi-source collection with failure isolation, normalized into Postgres/DuckDB - Point-in-time correctness — bitemporal databases with as-of replay and zero look-ahead leakage, so your backtests aren't lying to you - Signals & automation — rules-based market scanners, exchange API integration, Lightning/crypto automation, crash-resilient 24/7 deployment Recent work (real, with code & tests): - A bitemporal horse-racing trading database — Betfair historical pricing (600K+ price rows) + 280K+ race-card index, as-of replay validated leak-free, 176 passing tests (PostgreSQL/SQLAlchemy) - A Bitcoin (RoboSats) selling-automation system — 18-state order lifecycle, Lightning payments via Core Lightning, Tor routing, Docker API - A prediction-market arbitrage radar — scans 5,000+ live markets per cycle for YES/NO mispricing, DuckDB snapshots, 17 passing tests I care about correctness — bad data quietly ruins a trading system, so I build in reconciliation, idempotency and tests. Clear communication in English and Chinese. I'll tell you upfront if an edge isn't realistic rather than overpromising.

Hi, I’m Joy — a backend developer and operations system designer. I currently maintain a flexible AI data annotation contract that does not limit my availability for new client projects. I actively manage my workload and accept tasks based on capacity, ensuring full focus and timely delivery for every engagement. I help businesses turn messy processes, spreadsheets, and manual workflows into clear, reliable systems that non-technical teams can actually use. My strength is not just writing code, but designing end-to-end operational workflows — from data collection and validation, to role assignment, tracking, and reporting — using a combination of Google Sheets, Python automation, and backend logic. What I specialize in: - Google Sheets–based internal systems & dashboards - Business process & workflow design - Data validation, de-duplication, and attribution logic - Backend automation (Python, APIs, lightweight scripts) - Web scraping & data ingestion (when needed, always compliant) Typical problems I solve: - “We have forms and spreadsheets, but everything is messy” - “We need traceability, but no one knows who owns what” - “We want a system, but not a heavy app or expensive software” - “Admins should just follow SOPs, not make decisions” Why clients work with me: - I design systems with clear boundaries and rules - I document everything so teams can run independently - I communicate clearly and avoid overengineering - I focus on solutions that are practical, ethical, and maintainable I work remotely with clients worldwide 🌍 Hourly rate reflects senior-level backend and system design experience.