Jennifer Eigo

Academic Director, Instructor in-Residence

Operations and Information Management

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Education

M.S. Business Analytics and Project Management, University of Connecticut
B.S. Management Information Systems, University of Connecticut

Areas of Expertise

• Data Analytics
• Predictive Modeling
• Data Strategy
• Experiential Learning

Courses Taught

• OPIM 5604 – Predictive Modeling
• OPIM 5668 – Project Risk and Cost Management
• OPIM 5770 – Advanced Business Analytics and Project Management

Biography

Jennifer Eigo is an Instructor In-Residence at the University of Connecticut where she also serves as the Academic Director of the Masters of Business Analytics and Project Management program.  She teaches in the program at both the Hartford and Stamford campuses. With expertise in predictive modeling, project risk management, and experiential learning, she prepares students for careers in data analytics through hands-on coursework, helping students build the skills they need to thrive in analytical roles. Prior to her Academic Director role, she served as the Associate Director of UConn’s Digital Frontiers Initiative, where she fostered partnerships with companies to develop practical analytics projects for the MSBAPM Capstone course. Her prior professional experience includes work in Business Analytics and IT Infrastructure in the insurance and utility industries.

Featured Publications

Eigo, J. C. (2021). “Beware of the Perfect Model”. Analytics Interpreted: A compilation of
perspectives. (pp. 143-147).

Eigo, J. C., & Wilson, J. Measuring the effectiveness of public subsidy by the analysis of disparate data sources: Do subsidies increase arts participation by low engagers? Cultural Trends, volume 28(2-3), pages 239-248, 2019.