Vanitha Virudachalam

Vanitha Virudachalam

Assistant Professor of Business Administration

  • Email

Contact

4014 Business Instructional Facility

515 Gregory Drive

Champaign, IL 61820

217-300-8597

vanitha@illinois.edu

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Educational Background

  • Ph.D., Wharton School of Business, University of Pennsylvania, 2020
  • M.P.P., Honors, Public Policy, University of Chicago, 2012
  • B.A. in Applied Mathematics, High Honors, Operations Research, University of California at Berkeley, 2006

Positions Held

  • Assistant Professor of Business Administration, University of Illinois at Urbana-Champaign, 2020 to present
  • Instructor of Business Administration, University of Illinois at Urbana-Champaign, 2019-2020

Recent Publications

Other Publications

Working Papers

  • Liu, N., Savin, S., Steinberg, M., & Virudachalam, V. Coproduction in the Classroom: Optimally Allocating Incentives Between Teachers and Students.
  • Virudachalam, V., Savin, S., & Steinberg, M. Investing in Performance: Information and Merit-Based Incentives in K-12 Education.
  • Bavafa, H., Örmeci, E., Savin, S., & Virudachalam, V. Surgical Case-Mix and Discharge Decisions: Does Within-Hospital Coordination Matter.

Honors and Awards

  • Teachers Ranked as Excellent, UIUC Center for Innovation in Teaching & Learning, 2021-2021
  • Junior Council Faculty Grant, UIUC, 2021-2021

Research Interests

Education Operations, Healthcare Operations, Service Operations, Public Sector Operations

Current Courses

  • 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.

Contact

4014 Business Instructional Facility

515 Gregory Drive

Champaign, IL 61820

217-300-8597

vanitha@illinois.edu

Vita

Website

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