Samuel Levy

Bio

I am a Marketing Ph.D. candidate in the Tepper School of Business at Carnegie Mellon University. I use and combine Bayesian {statistics, machine learning and econometrics} to (1) build predictive models of browsing and buying behavior using unstructured data (2) flexibly model consumer behavior and make policy recommendations for pricing and promotional strategies.

Interested in my research or in collaborating? Feel free to email me at samlevy@cmu.edu. You can also find me on LinkedIn.

For more about my background, check out my CV.

Research

Using Bayesian Topic Modeling to Enhance Customer Purchase Prediction

with Dokyun Lee, Daniel McCarthy and Alan Montgomery

We propose a new approach to make individual predictions of customer activity.

Gaussian Process Utility Model

with Alan Montgomery and Richard Mirman

We build a general utility model to detect and "learn" non-linear patterns of consumption from the data.

Samuel Levy

Tepper School of Business

Carnegie Mellon University

5000 Forbes Avenue

Pittsburgh, PA 15213

Phone: 123-456-7890 
Email: samlevy@cmu.edu

(412)-773-2627