Aditya Omkar

I've analyzed 100,000+ ride-booking records, built reusable MySQL views, and created interactive Power BI dashboards for bookings, cancellations, revenue, ratings, and vehicle performance.

My work spans the full data lifecycle: extracting and cleaning data with Python and SQL, performing EDA and statistical analysis, engineering features, and communicating business insights through KPI reporting. I also analyzed 3,900+ customer purchase records to identify purchasing, revenue, discount, and subscription trends.

I built a predictive diet recommendation system end to end, from preprocessing and feature engineering through model training and evaluation. By optimizing features and comparing algorithms with cross-validation, I improved prediction accuracy by 8% and deployed real-time predictions with Streamlit.

Alongside data work, I collaborated in a four-member Agile team as an Android Developer Intern, optimizing REST API integration to reduce data exchange errors by 30% and app crashes by 25%.