Yatri Patel is a Data Scientist and former software engineer with 8 years of experience building scalable APIs, microservices, and data pipelines that power ML and analytics at enterprise scale. At Tennessee Valley Authority she engineered resilient integrations handling 500+ records/min, cut SQL latency by 55% for million‑record workflows, and built CI/CD pipelines that increased deployment velocity by 80%, delivering 99.99% uptime for 2,000+ users. Now pursuing an MS in Analytics at Georgia Tech, she blends production engineering rigor with applied ML — producing accurate forecasts (Bitcoin <0.51% MAPE) and transit ridership models used for planning. Comfortable across Python, R, SQL, PyTorch, Prophet/GreyKite, Tableau and cloud CI/CD, she focuses on deploying models and building observability into data products. An active open-source contributor, she has hands-on mobile development experience on the PSLab Android app, demonstrating a practical full-stack curiosity that spans embedded, cloud and analytics systems.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Data Science, Bachelor of Science - BS Data Science at The University of Tennessee at Chattanooga
X, X at St. Kabir School
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of Technology
Bachelor of Technology ICT, Bachelor of Technology ICT at Dhirubhai Ambani University
Contributions:10 commits, 23 PRs, 110 comments in 3 months
Contributions summary:Yatri primarily contributed to the development and enhancement of the PSLab Android application. Their work focused on implementing and updating the UI, adding features like the bottom sheet guide for the lux meter and the FAQs section. They also addressed issues related to the manifest file, corrected UI components, and fixed Codacy issues to improve code quality. Furthermore, the user updated the barometer and added features to it.
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