Sreeta Gorripaty is a Sr. Data Scientist at Uber. She focuses on using Machine Learning and optimization techniques to develop algorithms for transportation applications in the areas of Driver Engagement and Loyalty, travel time prediction, pool matching, dynamic pricing algorithms. Prior to Uber, Sreeta pursued her Ph.D. at the University of California, Berkeley, her M.S. in Transportation Engineering in UC Berkeley, and B.S. in Civil Engineering in Indian Institute of Technology Bombay.
At Berkeley, Sreeta was working on developing decision-support algorithms, used data mining techniques to improve the airport planning process, and behavior modeling to quantify lifestyle changes and impact on transportation choices. She has also worked with Apple Maps to develop an evaluation framework to improve their routing algorithms using user data. Sreeta’s accolades include the WTS Beverley Swaim Staley Leadership Legacy Award and ACRP Graduate Research Award.