Saumya Srivastava

Saumya Srivastava is a seasoned data engineering professional with extensive experience in various roles across notable companies. Currently, as a Data Engineering Lead (Associate) at Payden & Rygel since August 2020, Saumya previously served as a Data Engineer (Portfolio Analyst) at the same firm. Prior to Payden & Rygel, Saumya worked as a Data Scientist at California State University, Long Beach, contributing to high-value initiatives alongside the Executive Director of Analytics and Chief Data Officer. Additional experience includes a role as a Software Engineer at Sprinklr, where Saumya developed a module for managing social media messages for major clients, and an internship as a Software Engineer at NVIDIA, focusing on sentiment analysis and autonomous driving projects. Saumya holds a Master's degree in Computer Science from California State University, Long Beach, a Master of Science in Data Science from Harvard University, and a Bachelor's degree in Computer Science from RV College of Engineering.