following a personal curriculum @SahiliTries

Quantitative Investment Strategies - Alternatives - Quantitative Research - Portfolio Construction - Portfolio Management

• Act as 2nd line of defense by stress testing & validating risk models in deposit and mortgage asset class • Developed a synthetic data generator (Neural Network) using VAE for scenario testing • Designed an interactive data visualization tool & a new Model Risk Score to optimize impact • Developed a Python library to ease the model risk validation reducing development time • Was invited as an industry speaker from Wells Fargo on AI trends in Banking & Finance at IIT Madras

- Developed an R package for standardizing data visualization to improve time efficiency - Validated models by analyzing their performance in the mortgage and RWA asset classes

Analyzed the markets using different tools and techniques to place trades and perform live day trading at their virtual trading platform using softwares like Eikon and TT.

- Research: Worked on financial concepts like price/volume, news & sentiment, options & volatility etc to build mathematical models as financial strategies. - Business Development: Worked on projects like - Designing an email marketing campaign, Key Account Management & Using Data Analysis to study Research Consultant behaviour pattern.

-Developing an early warning system for the early indicators and prediction of a financial crisis using macroeconomic and financial indicators from datasets like Bloomberg and Thomson Reuters. -Extracted data for emerging economies, trained an ANN model to predict the chances of a financial crisis as stable, likely to be unstable and unstable. These served as warning signs for the economic crisis.

Computerization of Khasara: Digitalized the process of land revenue collection and crop inspection by designing an application hosted on the UP BOR website. Used Java, PostgreSQL, HTML and CSS.