Sujal Kumar
Skills: Python, C++/C, R, Excel - Advanced
Bio
Sujal earned his bachelor’s degree in Statistics from the University of Delhi, where he developed a strong foundation in probability, statistical inference, mathematics, and data analysis. Driven by a long-term interest in market-facing quantitative roles, he is pursuing the Master of Financial Mathematics at NC State University. His career interests include quantitative research, quantitative trading, derivatives pricing, market microstructure, and systematic investment strategies. Sujal has worked on projects involving market data analysis, limit order book simulation, and computational methods using Python and C++, and he hopes to apply statistical modeling and machine learning techniques to problems in financial markets.