Summary
Praneeth Narayanamurthy is a data scientist with eight years of experience bridging signal processing, high-dimensional statistics, and machine learning, now applying his research background at Alcon in Los Angeles. He completed a PhD focused on provable online matrix factorization algorithms and spent a postdoctoral term at USC designing active sampling methods for ML problems, bringing rigorous theory to practical data challenges. His work includes applied research on satellite time-series and low-sample Gaussian process approaches that outperformed deep-sequence models, and earlier contributions to speech synthesis for Indian languages. Comfortable teaching and mentoring at the university level, he combines strong mathematical foundations with hands-on implementation skills, often favoring sample-efficient methods for resource-constrained settings.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Iowa State University
Bachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at National Institute of Technology Karnataka