Ashish Khandelwal

• 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

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

Business Analytics
Marketing Analytics
Data Science
Business Statistics

Marketing
Data Analytics

• Business Analytics II (BADM 211) Builds on the foundation from the Business Analytics I (BADM 210), synthesizes concepts through hands-on application and project-based learning. Focuses on data acquisition, organization, analysis and visualization in a business setting. Expanding on the use of statistics in generating basic inferences to predictive modeling Identify opportunities for improving business decisions using data, conduct relevant analysis of the gathered and cleaned data, and finally, interpret and present analysis outcomes to decision makers. Using statistical tools and software applications to identify business problems, acquire relevant data, and generate analytic solutions using advanced analytics techniques and tools for generating insights. Introduces the students to analyzing, learning, and prediction using advanced analytics techniques and tools for generating business insights. This course will provide a practical introduction to various techniques regarding clustering, text mining, classification and decision trees, and time series analysis. Finally, the course will introduce advanced and emerging topics in predictive analytics.

• Social Media Strategy (BADM 351) Business managers of today must be equipped to deal with the new reality of a highly connected society. In this course, students will learn foundational concepts of Social Media and their applications for generating value for their customers, the society, and the business itself. The course aims to develop analytical skills and understanding of the opportunities and challenges that social media, global collaboration and new ways of engaging customers pose for the firm. An emphasis will be placed on managerial decision making in the context of the social media phenomenon.

• 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.

• 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.

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