• Doctoral Program, Business Administration, Marketing, Indian School of Business, 2019
• Masters in Business Administration, Marketing Research, University of Wisconsin - Madison at Madison, 2015
• Master in Management Science, Marketing, International Institute of Professional Studies , DAV University, 2009
• Bachelor in Science, Mathematics, Jiwaji University, 2003

• Teaching Assistant Professor, Business Administration, University of Illinois Urbana Champaign, 2021 to present
• Postdoc Research Associate, Business Administration, University of Illinois at Urbana-Champaign, 2019-2021
• Adjunct Instructor of Business Administration, Business Administration, University of Illinois at Urbana-Champaign, 2018-2019
• Academic Assistant, University of Wisconsin-Madison, 2014-2015
• Summer Associate - Global Strategic Insights, McNeil Consumer Healthcare, 2014
• Researcher, Lindsay, Stone & Briggs, 2013
• Visiting Lecturer, Prestige Institute of Management & Research, 2012-2013
• Marketing and Business Development Manager, iLEAD Group, 2010-2013
• Faculty - Marketing, Indore Management Institute, 2009-2010
• Faculty - Marketing, PROTON business school, 2008-2009
• Visiting Lecturer, Devi Ahilya Vishwavidyalaya, 2008-2009
• Consultant- Business Development, Ma Foi Management Consultant Ltd - A Randstad Company, 2007-2008
• Consultant - Stocks and Derivatives, Indiabulls, 2005-2007

• Ahsen, M., Khandelwal, A., Subramanyam, R., Ivanov, A., Mukherjee, U., Sumkin, D., & Seshadri, S. Forthcoming. Leveraging Social Media for COVID-19 Response: Insights from a Data Competition.

• RC Evans Data Analytics Scholar, University of Illinois at Urbana-Champaign, 2022-2023

• Ad Hoc Reviewer, Journal of Marketing Analytics, 2025 to present
• Data Science and Strategy Consultant, Vista Research; Seventh Sense Consulting, 2024 to present

Data Science
Business Analytics
Marketing Analytics
Data Engineering
Business Statistics

Marketing Analytics
Data Analytics

• Big Data Platforms (BADM 358) Provides students a deep understanding of the fundamentals of big data platforms and data engineering, data analytics and algorithms for analytical use cases. Experimenting end to end pipelines on cloud platforms: data collection to deployment

• Business Practicum (BADM 550) Provides a unique opportunity to apply student's classroom knowledge, their skills and experiences in a real world setting. Each student should expect the experience to be as close to working in a business environment as the academic environment allows. Each team of students will work in a collaborative relationship with real businesses and organizations to solve real problems by developing implementable solutions. The instructor's expectation is that each student will provide professional quality work.

• Big Data Infrastructures (BADM 558) Provides students a thorough understanding of the fundamentals of big data platforms and technologies, data engineering, data analytics and algorithms for both operational and analytical use cases. Experimenting end to end pipelines on cloud platforms from data collection to presenting data driven insights for a nontechnical audience. Students will have the opportunity to understand both relational, analytical databases and NoSQL databases on the cloud as well as on premise from real-life datasets while leveraging programmatic or configuration driven data pipelines.

• Data Science and Analytics (BADM 576) In this course, you will learn not only data analytic techniques but also the managerial implications of competing with analytics. You will understand the managerial challenges of using data analytics to develop a strategic advantage through readings and case studies. You will learn techniques such as statistical inference, linear modeling, sentiment analytics, and data mining through hands-on exercises in R. R is an open source language that has grown in importance and usage in corporations. Finally, you will be able to present and interpret data through an understanding of data visualization techniques.

• Analytics for Mgmt DecisionMkg (BADM 579) Equips students with the skills to translate business challenges into analytical solutions. The course covers descriptive and inferential statistics, statistical modeling, and data visualization. Students gain hands-on experience with real-world datasets and industry tools. Emphasizing both theory and application, the content prepares students to design and implement data-driven strategies for informed decision-making in complex business environments.

• Analytics for Mgmt DecisionMkg (BADM 590) Special topics in the general area of business. Topics are selected by the instructor at the beginning of each term.

• Digital Marketing Analytics (MBA 542) Introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. Students will learn to identify the web analytic tool right for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data from the web; and utilize data in decision making for agencies, organizations or clients.