Summary
Poojitha Nanduri is a Lead Data Scientist and VP with nine years of experience building end-to-end ML solutions that span NLP, recommendation systems, survey analytics, and real-time audio emotion models for VR. She combines hands-on deployment skills—Dockerized Flask endpoints and production integrations—with a strong BI and ETL background from roles at Bank of America and JPMorgan Chase. A Carnegie Mellon-trained analyst, she has a track record of translating complex business needs into scalable services and dashboards, and she’s solved practical problems like cold-start recommendations via survey clustering. Poojitha also brings domain experience in healthcare analytics and fuzzy-matching optimizations, showing a knack for feature engineering on messy, high-stakes data. Colleagues rely on her to bridge data science, engineering, and product to deliver measurable business impact.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Vellore Institute of Technology
Master of Information Systems Management Business Intelligence and Data Analytics Track, Master of Information Systems Management Business Intelligence and Data Analytics Track at Carnegie Mellon University - Heinz College of Information Systems and Public Policy