Summary
Manasa Rajesh is a Data Scientist with eight years of applied experience building ML and computer vision solutions for industry and research, currently working at 7-Eleven in Los Angeles. Her background spans deep learning for sports action recognition and pose tracking at Nikon Research, OCR and NER automation for library cataloging at USC, and product-focused AI for nutrition and emotion recognition. She combines practical engineering—PyTorch model integration, tracker optimization, and reusable Python tooling—with a founder’s mindset from launching FinetsaTech. An incoming MS Applied Data Science student at USC, she blends academic rigor with production deployments and a clear interest in robotics. Notably, she has simplified multi-player pose tracking in complex game footage, demonstrating an ability to reduce noisy outputs and improve downstream analytics.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS Applied Data Science, Master of Science - MS Applied Data Science at University of Southern California
Bachelor of Technology - BTech Electrical Electronics and Communications Engineering, Bachelor of Technology - BTech Electrical Electronics and Communications Engineering at Vellore Institute of Technology
English, Telugu, Tamil, Hindi, Kannada, Malayalam, French