● Studied and analyzed various interest rate derivative instruments, including Range Accrual Options, Snowball Options, and Bermudian Swaptions, to gain insights on their pricing methodologies and risk profiles.● Used one-factor, two factor, and exogenous short rate models and market models like the Vasicek model, G2++, and LIBOR Market Model to predict the behavior of the interest rates. ● Utilized the Quantlib Library to implement complex interest rate derivative structures, enhancing proficiency in Python and Quantitative Modeling.

• Created and deployed an edtech app using flutter which has a database of around 2000 active users.• Analyzed student use of learning tools and suggested recommendations using machine learning techniques.• Led a team of 5 undergraduate students as a group leader to complete project goals and objectives.

• Used Python and Tableau to convey complicated datasets to the non-technical employees and 5000 users.• Implemented K-means Clustering to form clusters to help users identify their appropriate difficulty level. • Identified the trends and helped the marketing team improve marketing campaigns by 40%.