Summary
Mukul Chauhan is an experienced data science educator and leader who builds AI systems focused on decision-making rather than just prediction, with nearly two decades of industry and teaching experience across analytics, machine learning, and Six Sigma. As Adjunct Professor at Northwestern University and senior leader at Great Learning, he designs curricula, mentors graduate students, and operationalizes analytics programs across multiple Indian cities while maintaining strong program KPIs. He combines hands-on model development (Random Forests, boosted trees, neural nets, NLP) with operational rigor from roles in analytics delivery and process leadership at Genpact. Mukul’s background in actuarial science, ISI training, and an ISB advanced analytics program gives him a rare mix of statistical depth and practical product-oriented teaching. He also applies pragmatic automation—like VBA-driven receipt generators in past training engagements—illustrating a penchant for solving real operational problems beyond pure research.
9 years of coding experience
9 years of employment as a software developer
Actuarial Science Risk Management, Actuarial Science Risk Management at Institute and Faculty of Actuaries
B.Com Accounting & Statistics, B.Com Accounting & Statistics at Annamalai University
PCM with english and computer science Computer Science, PCM with english and computer science Computer Science at Army School Bikaner
Master's degree Data Science, Master's degree Data Science at CHANDIGARH UNIVERSITY
Advanced Management Program in Business Analytics Business Statistics, Advanced Management Program in Business Analytics Business Statistics at Indian School of Business
Six Sigma Green Belt Certification Statistics and Data Analytics, Six Sigma Green Belt Certification Statistics and Data Analytics at Indian Statistical Institute (ISI), New Delhi
English, Hindi