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Thomas Verbraken

Thomas Verbraken

Professional experience:
Thomas Verbraken received his PhD in applied economics at the KU Leuven, in Belgium. As a member of professor Bart Baesens' research team, he has done research on predictive analytics. More specifically, he has worked on customer churn prediction, profit-based classification performance measurement, and classification in network environments. He has published his research findings in well-known international journals, among which IEEE Transactions on Knowledge and Data Engineering, The European Journal of Operational Research, Decision Support Systems, and IEEE Transactions on Software Engineering. He is also a CFA charterholder, and currently works in the financial industry in a risk methodology research team.

Courses I teach include

Analytics: Putting It All to Work
Advanced Analytics in a Big Data World

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