Mudit Kulshreshtha is a seasoned academic and industry professional with over three decades of experience spanning analytics, strategy, artificial intelligence, and management education. He brings a rare combination of deep technical expertise, leadership experience, and academic rigor across premier institutions, consulting firms, and industry organizations.
Most recently, he served as Faculty at the National Power Training Institute (NPTI), Government of India, contributing to capability building in analytics, automation, cloud platforms, and emerging areas such as generative AI. His academic engagement emphasized the application of data-driven methods to decision-making in complex organizational and public-sector environments.
Earlier, Mudit served as Professor of Analytics and Machine Learning at the Great Lakes Institute of Management, Gurgaon (2017–2023). During this tenure, he taught postgraduate and executive programs in Business Statistics, Business Intelligence, Web and Social Media Analytics, Big Data and Cloud Analytics, and Strategy. He is widely respected for bridging the gap between analytical rigor and managerial relevance.
Before academia, Mudit held senior leadership roles in industry. As Vice President and Head of Analytics at PAYBACK (an American Express company), he led analytics, customer insights, and data innovation teams, contributing to the development of nationally recognized excellence in customer analytics and loyalty programs. He also served as Executive Director – Analytics and Business Intelligence at Angel One, leading strategic BI and advanced analytics initiatives. Earlier, he played a pivotal role at Deloitte (US offices) in establishing analytics capabilities and the Global M&A Center of Excellence, and managed large analytics teams at WNS Global Services. His early career includes extensive advisory work at Ernst & Young and Arthur Andersen on power sector reforms and World Bank– and DFID-funded projects, following his initial role as an engineer at Bajaj Auto Ltd.
Mudit holds a PhD in Economics from IGIDR, Mumbai (Reserve Bank of India's advanced research institute), an M.Tech in Mechanical Engineering from IIT Delhi, and a BE in Mechanical Engineering from MNNIT Allahabad. He has also completed the Global Colloquium on Participant-Centered Learning at Harvard Business School, reflect