Claudia Perlich joined Two Sigma as a Senior Data Scientist from Dstillery, where she served as a Chief Scientist (2010 to 2017). As a research staff member in the Data Analytics Research Group at the IBM Watson Research Center (2004 to 2010), she led teams that completed successfully in KDD Data Mining Competitions, designed and executed wallet/opportunity estimation models for IBM Sales using quantile regression, and worked on blog and Twitter analysis tools for marketing. Since 2011, Claudia has also worked as an adjunct professor teaching Data Mining in the M.B.A. program at the New York University Stern School of Business where she received her Ph.D. in Information Systems in 2004.
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