I'm a Computer Science Engineering student and aspiring Data Analyst who turns raw, messy data into insights people can actually act on. I work across Python, SQL, Power BI, and RAG-based AI systems — from cleaning financial datasets to building the dashboards and models that sit on top of them.

During my internship at Bluestock Fintech, I analyzed financial and IPO data, built Power BI dashboards that improved reporting efficiency by 30%, and used Palantir Foundry to manage large-scale data pipelines. I've since built things on my own — an ML-powered financial health scoring system for 109 Nifty 100 companies, a production-grade REST API serving data for 600,000+ Indian villages, and multi-agent GenAI systems using LangChain and LangGraph.

I care about data that's accurate, fast, and easy to act on — not just impressive on paper. I'm currently looking for a Data Analyst role where I can bring that mindset to a team solving real problems.