I built an end-to-end job-market analytics pipeline with Python and PostgreSQL, cleaning and modeling a dataset of 50,000+ job postings. I used exploratory analysis to surface in-demand technologies by industry, location, and experience level.
At AppGlide Solutions, I developed Python automation scripts with Selenium to validate structured datasets across 30+ enterprise deployments, reducing manual verification effort by 70%. I also built data-quality checks and integrated automated test execution into Jenkins CI/CD pipelines.
At IIT Ropar COE in AI for Agriculture, I assisted with agricultural image annotation, preprocessing, and exploratory data analysis for pest-detection and classification model development. I also contributed to Figma UI/UX design and supported backend development and model integration.
For my DAViT Skin Lesion Classification final-year project, I prepared dermoscopic images and supported preprocessing and quality control for deep-learning experiments. I also built a Streamlit dashboard using the CoinGecko REST API to collect and visualize cryptocurrency market data.
