Consumer Activity Segmentation in Marketing

This project will require the intern to use statistical techniques such as a K-means to cluster customers into different groups based upon their relationship to Kraft and how those relationships drive business value for Kraft. The intern will also use logistical progression and decision trees to create models that will be able to predict the business value of future customers.

Faculty Supervisor:

Dr. Mu Zhu

Student:

Stefan Pintilie

Partner:

Digital Cement

Discipline:

Statistics / Actuarial sciences

Sector:

Finance, insurance and business

University:

University of Waterloo

Program:

Accelerate

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