Suneel Sarswat is an adjunct faculty member at NISM. He specializes in advanced programming, data analytics, machine learning, deep learning, fraud detection, and computational finance.

With over 8 years of full-time teaching experience and additional roles as a visiting faculty member, Suneel has conducted numerous workshops for working professionals in computational finance and machine learning. He has trained officers from RBI, SEBI, exchanges, banks, and other financial institutions. Previously, he worked as a research analyst at Bank of America for over two years and served as a consultant for Decimal Point Analytics for more than 3 years.

His work has been presented at international conferences in theoretical computer science. Currently, his research focuses on applications of formal methods in regulations. In addition to academic research, he has contributed to various regulatory research projects involving fraud detection, machine learning, and data analysis.

• PhD in Computer Science, Tata Institute of Fundamental Research (TIFR), Mumbai Thesis: ‘A formal approach to exchange design and regulation’

• Postgraduate degree in Computer Science, Tata Institute of Fundamental Research (TIFR), Mumbai

• Master’s degree in Applied Statistics, Indian Institute of Technology (IIT), Mumbai