About

Shrey Bhate is an ambitious and talented individual with a passion for computer science and statistics. Currently working as a Software Engineering Intern at Etsy, Shrey has already made significant contributions to the company by implementing a microservice that automatically creates, segments, cleans, and organizes data from multiple client-facing sources. He has also written backend scripts to pipeline the database data using Apache Spark into machine learning prediction models for different types of sources directly affecting client-facing services. Shrey has formulated prediction models for different metrics such as E-commerce sales, cash flow, and more using XGBoost, skLearn, and RandomForestRegressor libraries. He has also used Docker containers to deploy the prediction models onto real-time client services that have improved user experience and retention inside the product. Prior to his work at Etsy, Shrey worked as an Undergraduate Student Instructor (uGSI) at UC Berkeley Electrical Engineering & Computer Sciences, where he taught COMPSCI 194 - How to do Computer Science Research in Teams. He also worked as an Academic Assistant at UC Berkeley Electrical Engineering & Computer Sciences, where he taught data science concepts in lab and helped students with programming and statistics exercises. Shrey is currently pursuing a Bachelor's degree in Computer Science and Statistics from the University of California, Berkeley, which he is expected to complete in 2023. He also holds a Central Board of Secondary Examination degree in Physics, Math, Chemistry, Computer Science, and English from National Public School. Shrey's technical skills include XGBoost, Spark, Scikit, Docker, ML, Microservices, Backend, Research Scientist, and Software Engineer. With 0.27 years of relevant experience, Shrey is a quick learner and a team player who is always eager to learn and grow. He is a great communicator and loves to have conversations.