ASIM KHAN

Collected, cleaned, and analyzed 50,000+ property records across 5 cities using Python (Pandas, NumPy); engineered end-to-end web scraping pipelines across 30+ e-commerce platforms (Amazon, Noon, Jarir), processing 10,000+ products per run. Built Selenium + Playwright automation for dynamic JS-rendered sites with rotating proxies, user-agent spoofing, and CAPTCHA handling. Developed real estate price prediction ML model (Random Forest, XGBoost) achieving 91% accuracy on 10,000+ records; delivered client-ready HTML/PDF reports. Created interactive dashboards in Matplotlib, Seaborn, and Plotly; automated monthly data pipelines (cron jobs + Python) exporting 20,000+ rows to Excel/CSV; 50+ freelance projects with 5-star ratings; 98% on-time delivery.

Scraped competitor product data from 10+ websites daily; cleaned messy CSV datasets (5,000+ rows) with Pandas; built automated weekly Excel reports with charts; assisted senior analysts in EDA, revealing a 15% seasonal demand pattern.