Mandar Chaudhary
Applied Researcher at eBay
San Jose, California, United States
Summary
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Senior🎓
Top SchoolMandar Chaudhary is an applied researcher and machine learning practitioner with nine years of experience building causal discovery and predictive models, currently applying those skills at eBay from his base in San Jose. He earned a PhD in Computer Science from NC State, where he developed Bayesian network–based methods and feature-extraction approaches to uncover cause–effect relationships from observational data and improve system predictions. His background spans end-to-end ML work—research, feature engineering, model selection and deployment—with prior data science roles at Infinia ML and impactful internships at Motorola where production models improved customer satisfaction routing. Comfortable with both supervised and unsupervised approaches, he blends rigorous academic methodology with practical production experience. Notably, his work focuses on translating causal insights into better predictive performance, a perspective that helps bridge domain knowledge and applied ML.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at North Carolina State UniversityBachelor of Engineering (B.E), Computer Engineering, Bachelor of Engineering (B.E), Computer Engineering at Gujarat Technological University
English, Hindi, GujaratiGithub contributions (5)
mandarsc/TropeAnalysis
Dec 2020 - Jan 2023
Contributions:24 commits, 26 pushes, 1 branch in 2 years 1 month
mandarsc/NIBNA
Mar 2020 - Aug 2021
Contributions:60 pushes in 1 year 5 months
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