At Yuva, I completed a four-week analytics project in R, cleaning real-world datasets and exploring their distributions, trends, and relationships. I used statistical testing and visualizations to turn findings into concise analytical reports.
I built PreMortem-ML, a Python and Streamlit application that detects outliers, near-duplicates, class imbalance, and structural inconsistencies. It includes preprocessing, five-fold cross-validation, and row-level issue reporting.
I also developed projects including a Django ride-pricing system with REST APIs and an AI-powered collaborative IDE with Gemini code suggestions and WebSocket-based synchronization. At the Women Who Master Hackathon, I deployed an AWS PartyRock GenAI application to support women returning to work after career breaks.
