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Kim Larsen


Kim Larsen

Professional experience:
KimLarsen has worked in the area of data mining and statistical modeling industry since 2001 and programmed in SAS since 1995. He has experience working in the software and consulting industries, as well as commerce and financial services. Throughout his professional career, he has worked on and managed a wide array of data mining and analytical problems including price optimization, media mix optimization, demand forecasting, customer segmentation, and predictive modeling. Kim frequently speaks at data mining conferences around the world in the areas of segmentation and predictive modeling. His main areas of research include additive non-linear modeling and net lift models (incremental lift models). Kim holds a B.S. in mathematics and economics and an M.S. in statistics.

Courses I teach include

Net Lift Models: Optimizing the Impact of Your Marketing Efforts

What students are saying:

Great job presenting a complex topic with the right mix of technical detail and foundational business context.
Best instructor I've had yet for SAS training.
Awesome job! Very pragmatic approach to business problem solving.

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