
Brief Profile
Dr. Shaukat Ali Shahee is currently working as an Assistant Professor in the Business Analytics area at IMT Ghaziabad. He previously served as an Assistant Professor in the Information Technology & Systems area at the Indian Institute of Management Kashipur (2021–2025). Before transitioning fully into academia, he held industry roles including Quantitative Research Analyst at FCS Software Solutions, Deputy Manager (Database Administration) at Bank of Maharashtra, and Research Engineer at the Department of Computer Science & Engineering, IIT Bombay.
His teaching interests lie across the domains of AI and data-driven decision-making. He has taught courses such as Natural Language Processing, Data Science and Machine Learning, Business Analytics, Management Information Systems, and Mathematical Methods for Research. He has also supervised numerous research projects at the MBA Analytics, Executive MBA Analytics, B.Tech, M.Tech & Dual Degree levels in areas including Machine Learning, Finance, NLP, Generative AI, and optimization.
Dr. Shahee holds a Ph.D. from the Shailesh J. Mehta School of Management, IIT Bombay, where his doctoral work explored the challenges of class imbalanced data under intrinsic data characteristics. He also co-authors the book Fundamentals of Data Science using Python and R, published by Wiley. His research has appeared in reputed international journals such as Data Mining and Knowledge Discovery, Applied Intelligence, the International Journal of Artificial Intelligence and Soft Computing, and the Journal of Forecasting, as well as the Springer book series Advances in Data Mining: Applications and Theoretical Aspects. His current research interests include Machine learning under class imbalance, Generative AI and LLMs, NLP applications in Finance, Statistical Learning, and Numerical Optimization.
Education
- Ph.D. in Shailesh J. Mehta School of Management (2021), Indian Institute of Technology (IIT) Bombay, Mumbai, India
- MCA (2009), West Bengal University of Technology, Kolkata, India
Experience
Assistant Professor – Information Technology & Systems
IIM Kashipur, Kashipur, Uttarakhand, India
Duration: 2021 – 2025
Quantitative Research Analyst – FCS Software Solutions, Noida, India
Duration: 2020 – 2021
Deputy Manager (Database Administrator) – Bank of Maharashtra
Duration: 2012 – 2013
Research Engineer – Department of Computer Science & Engineering, IIT Bombay, Bombay, India
Duration: 2009 – 2011
Research Interests
Machine Learning under class Imbalance data, Generative AI models—such as large language models (LLMs), Application of Deep Learning and Natural Language Processing in Finance, Statistical learning, Optimization Techniques
MDP/Executive Education
EPGDBM (2025), IIM Kashipur – Business Analytics
RABI Cohort-6 (2024), IIM Kashipur – Technology, Innovation, and Applications in Business & Agriculture
RABI Cohort-5 (2023), IIM Kashipur – Applied Technology and Innovation: Forecasting, Information Systems, and AI Applications
RABI Cohort-4 (2022), IIM Kashipur – Data Analytics and Programming Foundations