About

Kunjan Prasad is an Associate Specialist at MasterCard with a passion for people, finance, and AI/ML. With a strong track record of getting things done, Kunjan has a diverse skill set in product, macro, forecasts, and growth. Kunjan's professional experience includes working as a Software Engineer Intern at Codenation, where he developed a production-grade Duplicate Code Finder & Fixer to reduce technical debt in gigantic codebases. He also worked as a Summer Research Intern at RBI, where he implemented and deployed machine learning models to reduce computation cost of Linear/Partial Differential Equations such as Black-Scholes to speed up Option-price chain computation and increase prediction accuracy. Additionally, he developed and enhanced forecasting models for credit risk, distressed debt, dynamic macroeconomic market evaluation, and portfolio optimization. Kunjan's educational background includes a Bachelor of Technology in Mathematics and Computing and a Master of Technology in Mathematics and Computing from the Indian Institute of Technology, Delhi. He has expertise in AI, ML, software engineering, and research science. With 1.79 years of relevant experience, Kunjan is a highly motivated and results-driven individual who is committed to achieving success in his career. He is an excellent team player with strong communication and leadership skills.