About
With Nearly 3 years of experience as a Data Scientist in the fintech and fund accounting domain, I specialize in transforming large-scale crypto and DeFi datasets into accurate, audit-ready financial insights. My work sits at the intersection of data engineering, finance, and analytics—supporting crypto funds with precise NAVs, risk visibility, and data-driven decision-making. I built portfolio estimation and risk-reporting pipelines that compute accurate fund valuations and exposure across spot, futures, options, margin, and DeFi positions. I also developed client-specific pricing hierarchies by integrating data from CoinMarketCap, CoinGecko, and broker ticker feeds to ensure consistent and transparent asset pricing across diverse venues. I played a key role in designing and maintaining data pipelines that extract, normalize, and reconcile trading data from centralized exchanges (Binance, Bybit, Deribit) and on-chain sources. This includes implementing inventory valuation methods such as FIFO, LIFO, HIFO, and AVCO for accurate PnL calculations, and standardizing complex DeFi activity across wallet balances, transactions, staking, lending, and protocol-level flows. With a Master’s degree in Data Science, I bring strong expertise in machine learning and AI—building and optimizing models such as LSTM, ARIMA, and Random Forests for forecasting, anomaly detection, and exploratory research. This blend of financial domain knowledge, data engineering skills, and applied ML helps me stay adaptable and contribute effectively across both fintech and broader data science environments.
Work experience
Data scientist Level 2 at The Ascent Group, Jul 2025 - Present · 10 mos, India
Data Scientist (Level-1) at The Ascent Group, Jan 2025 - Jul 2025 · 7 mos
Junior Data Scientist at The Ascent Group, Oct 2023 - Dec 2024 · 1 yr 3 mos, Bengaluru, Karnataka, India
Education
Master of Science - MS, Data Science, GITAM Deemed University
Bachelor of Science - BS, Statistics, Mathematics and Computer Science, GITAM Deemed University
