I've built analytics solutions for e-commerce, fintech, and customer feedback data, turning raw transaction logs and unstructured reviews into decision-ready datasets and dashboards.
For a go-to-market e-commerce analysis, I audited 99,441 records, fixed ingestion issues, modeled a MySQL star-schema warehouse, and delivered a Power BI dashboard that showed credit cards drove 75.24% of checkout transactions. I also built a multi-broker ledger and risk analytics pipeline across Zerodha, AngelOne, Groww, and Upstox to surface sequential cross-broker trading activity.
Using Python, SQL, DuckDB, Power BI, and local LLMs, I build end-to-end pipelines—from data cleaning and transformation through KPI reporting and visualization.
