About

Sanjyot Thete is a highly skilled Data Scientist with over 6 years of experience in the field. Currently working as a Graduate Research Assistant at the University of Michigan-Dearborn, she is focused on solving the high processing latency problem in autonomous driving systems by using deep learning to predict future driving actions. Sanjyot has previously worked as a Research Engineer and Associate Program Manager at Ola, where she gained extensive experience in designing customer pricing and implementing distributed compute pipelines with PySpark and Python over Hive data storage. She also developed a predictive model pipeline based on gradient boosting decision trees for preemptive default identification in credit card default prevention in Australia. In her role as Associate Program Manager, Sanjyot was responsible for creating and maintaining Hive data pipelines for customer cancellation identification, setting up cancellation capping systems on customers to prevent incessant fraud cancellations, and managing logistics of Ola Store accessories throughout the Bangalore metropolitan area. Sanjyot holds a Bachelor's degree in Mechanical Engineering from the Indian Institute of Technology, Bombay, and a Master's degree in Data Science from the University of Michigan-Dearborn. She is proficient in various technologies such as Research Scientist, Data Scientist, Deep Learning, Python, and Apache Hive. With her extensive experience in data science, Sanjyot is a valuable addition to any team looking to solve complex problems using data-driven approaches.