With over a decade of experience in analytics and data science, I drive growth for portfolio-analytics and trading platforms by transforming raw data into actionable insights. I’ve partnered with teams across Fintech, apparel e-commerce, hyper-local instant delivery and SaaS to build robust BI architectures, lead multi-touch attribution modeling, design and deploy Looker/LookML solutions, and run rigorous A/B tests and N-gram analyses. I have been integrating AI into existing business workflows like creating AI chatbot for customer support team, Adding insights using AI on Looker Dashboard. I help organizations uncover hidden customer behaviors, optimize user journeys and continuously improve performance metrics. Alongside my analytics career, I bring five years of hands-on options-trading expertise to the table. I specialize in selling Nifty and Bank Nifty options, where I’ve built and refined automated strategies using TradingView and KiteConnect—backtesting volatility-based strangles, iron condors and calendar spreads to manage risk and capture premium decay. I employ statistical modeling to estimate implied volatility surfaces, deploy dynamic delta-hedging to neutralize directional exposure, and monitor real-time Greeks to adjust positions intraday. Through disciplined position sizing, stop-loss protocols and periodic strategy reviews, I’ve consistently delivered alpha while maintaining Sharpe ratios north of industry benchmarks. My dual lens as a data analyst and derivatives trader allows me to architect end-to-end solutions that bridge sophisticated analytics with real-world market execution.