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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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