Summary
Jyothsna Kodandera is a data scientist with nine years of engineering experience, currently applying ML and analytics at NetApp in New York. She blends a strong systems background from multiple roles at VMware with hands-on machine learning work—ranging from forecasting business metrics to training computer vision models for manufacturing. A Columbia MS and top-ranked B.Tech graduate, she pairs rigorous academic training with practical production experience at Google and startups. Her work emphasizes robust, production-ready solutions: migrating configuration management to databases, optimizing low-level storage performance in C, and building generalized keypoint detection models that minimize fine-tuning cost. Comfortable across the stack, she moves easily between model development, data-driven business forecasting, and systems engineering. Colleagues rely on her to translate complex problems into reliable, scalable implementations.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, 9.85 / 10.00, Bachelor of Technology (B.Tech.), Computer Science, 9.85 / 10.00 at PES University
Master of Science - MS, Computer Science, 4.06/4.0, Master of Science - MS, Computer Science, 4.06/4.0 at Columbia University in the City of New York
English, Kannada, Hindi