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Summary
Quantitative analyst and risk engineer with a strong foundation in Python, machine learning, and financial modeling — now focused on where those skills meet Web3.I build real systems: a GeoRisk Engine that clusters assets by geopolitical sensitivity using PCA and K-Means, Monte Carlo VaR models with Cholesky decomposition, and a regulatory compliance tracker spanning RBI IT and DPDP frameworks. My background spans quant finance, ML, and cybersecurity — giving me a risk lens that's both technical and financial.
On the Web3 side, I've worked hands-on with Hardhat and Foundry, built on-chain projects, and understand how decentralized systems introduce unique layers of market and operational risk. I've also done business development at edtech firms — so I understand how to build pipelines, communicate value, and close.
I'm actively seeking roles in Risk Analytics, BD, or ML-driven Finance within Web3 — where quantitative rigor meets decentralized infrastructure.
Experiences
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