Rajeev Kumar Ray joined the Business Analytics Area at IMT Ghaziabad on 29 September 2025. He holds a PhD in Information Systems and Analytics from the School of Management and Entrepreneurship, Indian Institute of Technology Jodhpur. His research examines how consumer-generated content from social media and digital platforms shapes business decision-making using text analytics and natural language processing. His work focuses on the intersection of consumer sentiment, brand positioning, and technology adoption, aiming to develop integrated frameworks that transform unstructured feedback into actionable insights.

He has expertise in Python, R programming, machine learning, and deep learning algorithms. His research has been published in Journal of Retailing and Consumer Services, Communications of the Association for Information Systems, Computers in Human Behavior, Journal of Consumer Behaviour, and Journal of Enterprise Information Management.

He has presented his research at leading national and international conferences, including the Chicago Booth India Quantitative Marketing Conference at ISB Mohali, DRC at IIM Ranchi, ICMC 2024 at MICA Ahmedabad, the India Conference on Information Systems at IIM Calcutta, Vipanan 2025 at IIM Visakhapatnam, and the American Marketing Association International Conference.

• Ph.D. in Information Systems and Analytics (2021–2025)
  Indian Institute of Technology (IIT) Jodhpur, School of Management and Entrepreneurship
  Thesis: Consumer Reviews as a Tool for Decision Making: Cases from the Smartwatch Industry
• M.E. in Electronics and Communication Engineering (2019- 2021)
  Panjab University, University Institute of Engineering and Technology, Chandigarh
• B.E. in Electronics and Communication Engineering (2015- 2019)
  Panjab University, University Institute of Engineering and Technology, Chandigarh

• Adjunct Assistant Professor, IMT Ghaziabad (February 2026 – Present)
• Faculty Associate, IMT Ghaziabad (September 2025 – February 2026)

• Text Analytics and Natural Language Processing
• Consumer-Generated Content and Social Media Analytics
• Digital Transformation and Business Intelligence
• Technology Adoption and Digital Innovation
• Machine Learning and Deep Learning Applications in Marketing
• Econometric Modeling
• Multi-Criteria Decision Making