• Produce detailed market risk reports for Executive Management and Regulators (EMR), including key metrics such as VaR, Stress, etc.• Manage and report PnL drawdowns and anomalies, allowing management to take appropriate actions to meet financial forecasts• Developed a Tableau-based solution for aggregating data, performing drawdown calculations, and visualizing PnL trend across LOBs• Produce reports on Permitted Instrument (PI) breaches by traders, manage new PI rules, and monitor their implementation• Streamlined data sourcing processes in PI and EMR using Python, reducing operational risk, saving 60 hrs per month, and enhancing controls

Nirmaan Organization, BITS Pilani Chapter has more than 150 active members working with the main objective of providing better educational and employment opportunities to the underprivileged and marginalized people, thereby improving their living standards. As a vice-president of the chapter, my role is to look after the overall functioning of the organization and represent it.

• Coordinated with a team consisting of 30 members to ensure smooth conduct of events throughout the year• Pioneered 8 events including farewell, formal dinner, and day-out with professors with a budget of Rs 1 lac

• Worked as a teaching assistant for the course on Android App Development using Kotlin Programming Language• Curated 40+ hours of course content including lecture deliverables and Kotlin-coded examples for every feature• Evaluated laboratory assignments based on Android Studio for 25 working professionals enrolled in the course• Integrated all kotlin-coded features to develop an actual app – Ready Assist, which is to be rolled out for testing

• Rebuilt on an existing Deep Learning model which recognizes and crops face in an image with 96% accuracy• Integrated configuration file and log file and modularized the model to build reusable deep learning component• Developed a web-based API around the component to allow it to be used across different platforms and devices• Automated the real-time face registration process using web-based API, registered 50+ customers without error