Professor of Practice (Marketing), School of Management,
Mahindra University, Hyderabad
Dr. Rajesh Gaurav is a Professor of Practice in Marketing at the School of Management, Mahindra University, Hyderabad, with a strong academic and industry background in marketing analytics, pricing, data science, artificial intelligence, and business intelligence. He completed his Fellow Programme in Management (FPM) in Marketing from the Indian School of Business, Hyderabad, in 2023. He also holds an Advanced Certification in Artificial Intelligence and Machine Learning from IIIT Hyderabad, a Postgraduate Programme for Executives from MYRA School of Business, and a B.Tech. (Hons.) in Mechanical Engineering from IIT Kharagpur. His academic and research interests include Marketing Analytics, Pricing, Revenue Management, Digital Marketing, Retail Analytics, and the application of AI, machine learning, econometrics, and statistical methods to marketing problems.
He brings more than 16 years of industry experience across analytics, data science, technology consulting, and business intelligence. Before joining Mahindra University, he served as Associate Director at redBus, where he led the data science team involved in the development of a dynamic pricing product. At Decision Point Analytics, he worked as AVP, Data Science, and led a team of 18 data scientists addressing a range of marketing and business problems, including marketing mix modelling, promotions optimization, demand forecasting, and return-on-investment measurement. He also worked as Practice Lead, Analytics at NxtGen, where he created and launched new Big Data and Analytics service offerings on a SaaS model. His long tenure with Infosys as a Technology Architect in Data Warehousing and Business Intelligence involved consulting for Fortune 500 financial services clients in the United States on data-driven decision-making initiatives.
His research work focuses particularly on pricing, demand estimation, and quantitative marketing. His doctoral research includes studies on three-part tariff structures and the impact of changing allowance and base prices, as well as the use of machine learning and econometric models for aggregate demand estimation. He has co-authored a book chapter titled “The Changing Face of Customer Centricity,” published in The Palgrave Handbook of Managing Continuous Business Transformation. His research has been presented or accepted at notable forums such as the Marketing Science Annual Conference and the NASMEI Annual Conference, with work covering tariff design, pricing optimization, and optimal pricing under three-part tariffs.
Among his notable academic achievements, Dr. Gaurav was selected as a Fellow of the 6th AIM-AMA Sheth Foundation Doctoral Consortium in 2018. His doctoral training at ISB included advanced coursework in marketing models, consumer behaviour, analytical modelling, quantitative marketing research, discrete choice modelling, econometrics, causal inference, multivariate statistics, research methodology, and qualitative research methods, with exposure to faculty from institutions such as the University of Chicago, UNC Chapel Hill, New York University, Penn State University, IIM Ahmedabad, and the Indian Statistical Institute. His profile reflects a distinctive combination of industry leadership, quantitative research capability, technology expertise, and management education, making him well positioned at the intersection of marketing, analytics, AI, and managerial decision-making.
