Uber
Gorkem Ozkaya is a seasoned data science professional with extensive experience in machine learning and applied mathematics. Currently serving as a Senior Staff Applied Scientist at Uber since December 2017, Gorkem specializes in driving safety applications through large-scale real-time machine learning models, collaborating closely with software engineering teams. Prior to Uber, Gorkem worked as a Data Scientist at The Hanover Insurance Group, focusing on predictive modeling for personal lines insurance, and at BehaviorMatrix, where the emphasis was on analyzing emotions within massive unstructured data. Gorkem's academic credentials include a Ph.D. in Applied and Computational Mathematics from Princeton University, complemented by a Master's in Mathematics and a Bachelor's degree in Electrical Engineering and Mathematics from Boğaziçi University. Gorkem has also held teaching and research roles at various prestigious institutions, contributing significantly to the fields of statistics, signal processing, and neuroimaging analysis.
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Uber
2273 followers
Uber is working to make transportation safer and more accessible, helping people order food quickly and affordably, reducing congestion in cities by getting more people into fewer cars, and creating opportunities for people to work on their own terms.