Summary
Parva Shah is a data scientist and deep learning practitioner based in Seattle with nine years of hands-on experience focused on computer vision, NLP, and exploratory data analysis. As a Computer Science graduate student at UT Dallas, she balances research-inspired experimentation with pragmatic model engineering—frequently implementing novel CNN architectures and chasing benchmark accuracy while optimizing for limited compute. She routinely translates projects into deployable artifacts across Web, Android, and AWS, demonstrating an eye for end-to-end delivery beyond prototyping. Active on Kaggle, Parva currently competes on challenges like PetFinder.my, honing performance tuning and data-centric approaches. She’s seeking full-time roles where she can both contribute immediately and grow under senior mentorship, and welcomes collaboration on cutting-edge model ideas.
8 years of coding experience
The University of Texas at Dallas