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- Dr. Shameek Mukhopadhyay
Dr. Shameek Mukhopadhyay
Assistant Professor
Profile Summary
Dr. Shameek Mukhopadhyay is an accomplished academic with over 17 years of professional experience. His expertise lies at the intersection of Computer Science, Marketing, and emerging digital technologies. He has made notable contributions to understanding how Artificial Intelligence and Big Data Analytics can strengthen marketing capabilities, particularly in the Indian FMCG sector.
Dr. Mukhopadhyay has published in Scopus and ABDC-indexed journals, including Qualitative Market Research: An International Journal and Benchmarking: An International Journal, along with a book chapter published by IGI Global. He has also presented research at national and international conferences.
His academic approach combines research excellence with industry relevance, preparing students to navigate the evolving digital economy.
Work Experience
Dr. Mukhopadhyay is currently serving at UPES School of Business. Prior to this, he was Assistant Professor at The Heritage Academy from 2011 to 2025, where he taught across technical and management domains.
Research Interests
Artificial Intelligence in Marketing; Big Data Analytics; Marketing 4.0; Digital Transformation; FMCG Industry Research.
Teaching Philosophy
Dr. Mukhopadhyay believes in bridging theoretical concepts with real-world applications. He fosters a learner-centric environment that encourages critical thinking, innovation, and multidisciplinary learning. His pedagogy integrates data-driven decision-making and prepares students for technology-led business environments.
Courses Taught
Computer Science; Digital Marketing; Management Information Systems; Business Technology Applications; Marketing Analytics.
Awards and Grants
Received a Certificate of Appreciation from The Heritage Academy for significant contributions to academic excellence and institutional growth.
Scholarly Activities
Dr. Mukhopadhyay’s research focuses on technology-enabled marketing transformation, especially in the FMCG sector. His work uses qualitative and quantitative methods to examine how AI and Big Data Analytics improve marketing strategy, operational efficiency, and customer engagement.
He has collaborated with industry professionals to validate conceptual models and develop implementation frameworks for digital transformation. His current research continues to explore AI-driven marketing systems and analytics applications for emerging business environments.
