Sravanthi Ponnana is a data scientist with a decade of experience applying statistics and software engineering to deliver production-grade ML solutions, currently contributing to data science efforts at Amazon in the Greater Seattle Area. She has a strong academic foundation in computer science and data analytics and a track record of improving real-world systems—most notably doubling accuracy on building start-up time prediction at Prescriptive Data. Her toolkit spans time series forecasting, regression, classification, clustering, and dimensionality reduction implemented in Python and R, with practical experience in ARIMA/SARIMA, neural nets, random forests and NMF. Sravanthi pairs rigorous modeling with clear visualizations to align technical work to operational impact, having driven energy forecasting and performance metrics for building operations. Active in the competition and conference circuit, she brings a curious, research-minded approach to production problems and a history of translating analytics into measurable business outcomes.
10 years of coding experience
3 years of employment as a software developer
Master of Business Administration (MBA), Data Analytics, Master of Business Administration (MBA), Data Analytics at Narsee Monjee Institute of Management Studies, Bangalore
University of Illinois Urbana-Champaign
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Gayatri Vidya Parishad College of Engineering, Visakhapatnam
Contributions:4 PRs, 4 pushes, 3 branches in 15 days
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