Quantitative Finance, Algorithmic Trading, and Data Science professional with 15+ years of experience working at the intersection of financial markets, quantitative modeling, and real-world trading systems.

Over the years, I have developed and backtested 50+ algorithmic trading strategies across mean reversion, trend-following, volatility regimes, and statistical arbitrage. I focus on translating quantitative concepts into practical, executable systems that can be applied in real trading environments.

In addition to my industry role, I have delivered 9,000+ hours of training across Data Science, Machine Learning, Quantitative Finance, and Algorithmic Trading. I have been invited as a speaker and guest faculty at institutions such as IIM Mumbai, IIT Bombay, NSE Academy, BSE Institute (FinX), and TAPMI Manipal.

My teaching approach is highly practical and application-driven—focused on helping learners understand not just the theory, but how to implement models, build trading systems, and apply analytics in real-world scenarios.

If you’re looking to learn how quantitative finance, algorithmic trading, and data science come together in real markets, you’re in the right place.