I am an AI and quantitative developer from Pune, focused on turning market data into practical models for risk and decision-making. I built an end-to-end volatility forecasting engine that combines GARCH-family models with LSTM and XGBoost, and I integrated live VIX feeds to benchmark against classic estimators. I also developed a macro event-study engine to quantify P and L impact from Fed announcements, CPI releases, and geopolitical events. It outputs VaR, CVaR, Sharpe, and Sortino through a FastAPI backend with an interactive dashboard, supported by asynchronous multi-source data pipelines. Beyond trading and risk, I built an LLM-powered privacy compliance checker that parses policies against GDPR and CCPA, ranks violations at the clause level, and deploys the workflow through web and mobile interfaces. I have also completed JP Morgan simulations in investment banking and quantitative research, including DCF and LBO valuation work and quantitative modelling for derivatives pricing and portfolio risk.
Experience
Quantitative Research Job Simulation
JP Morgan Chase & Co. (Forage)Jan 2026 – Present
Completed JP Morgan’s Quantitative Research Job Simulation, applying statistical programming and quantitative modelling to derivatives pricing, portfolio risk quantification, and performance attribution across a multi-asset portfolio. Developed data-driven financial models to identify risk-return trade-offs and support systematic investment decision-making.
Investment Banking Job Simulation
JP Morgan Chase & Co. (Forage)Jan 2026 – Present
Completed JP Morgan’s Investment Banking Job Simulation covering financial modelling, deal structuring, and M&A advisory. Built comparable company and precedent transaction analyses and prepared a pitch book for a hypothetical acquisition. Conducted DCF and leveraged buyout (LBO) valuation exercises, synthesising key assumptions into an executive-level client presentation.
Education
Investment Banking Certification — IIM Vishakhapatnam & Intellipaat, Financial Modelling, M&A Valuation, Discounted Cash Flow (DCF), Leveraged Buyout (LBO) Analysis
In progress.
Bachelor of Technology, Artificial Intelligence & Machine Learning, Artificial Intelligence & Machine Learning
May 2027
Relevant coursework: Financial Econometrics, Time Series Analysis, Machine Learning, Reinforcement Learning, Computer Vision, Data Structures & Algorithms, Statistics & Probability.
Skills
Languages
- English
- Native or bilingual proficiency
- Hindi
- Native or bilingual proficiency
- Marathi
- Native or bilingual proficiency