Developed an AI-powered full-stack web scraping platform using Selenium, LangChain, and React.js to extract and structure data from 100+ web pages with 95% accuracy. Implemented natural language query processing, authentication handling, and pagination logic while deploying via Docker to improve reliability and reduce setup time by 50%.

Built an end-to-end sentiment analysis system using Python, Pandas, and Scikit-learn to process 10,000+ YouTube comments. Designed data pipelines, implemented feature extraction using NLTK, and optimized machine learning models achieving 93% classification accuracy while reducing preprocessing errors by 30% through efficient data cleaning workflows.