Jaya Khan is a Senior Experimentation Analyst with 10 years of experience applying data science and experimentation to drive confident product and business decisions. At Ford she builds scalable experimentation systems that tie controlled tests to real revenue impact and create reusable frameworks teams trust. Her background spans applied research in healthcare (Bayesian modeling for vaccine and disease studies), behavioral data science, and analytics roles at Adobe and Deloitte, giving her a rare blend of rigorous causal inference and product-focused analytics. A Duke Data Science MS graduate, she’s curious about novel impact measurement approaches and consistently seeks to make experimentation both more reliable and more actionable across large organizations.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Duke University
Bachelor of Technology - BTech Electronics and Communication Engineering, Bachelor of Technology - BTech Electronics and Communication Engineering at Dr. A.P.J. Abdul Kalam Technical University
Contributions:6 commits, 5 pushes, 1 branch in 1 year
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