Sandeep Sainath is a Senior Data Scientist with seven years of applied experience bridging machine learning, econometrics, and product analytics across FinTech, marketing, education, and supply chain domains. Trained at UC Berkeley (Data Science, Economics, Statistics) and Georgia Tech (MS Analytics), he moves comfortably between rigorous causal inference and pragmatic ML engineering, having shipped models at Deposco and interned on data science teams at Intuit Mailchimp and OpsVeda. His background in curriculum development and research—spanning NLP and econometrics—gives him a knack for translating complex quantitative ideas into usable product features and teaching materials. Globally curious and multicultural, he grew up in Saudi Arabia, attended an American high school, and visited 25+ countries by 17, which informs a user-centered, diverse perspective on data problems. Recently focused on the interplay between econometrics and modern ML, he combines theoretical insight with production experience to deliver measurable business impact.
6 years of coding experience
5 years of employment as a software developer
B.A. Data Science B.A. Economics Minor in Statistics, B.A. Data Science B.A. Economics Minor in Statistics at University of California, Berkeley
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of Technology
High School Diploma, High School Diploma at Dhahran High School
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