Summary
Pavithra Srinath is a Staff Data Scientist with a decade of experience building data-driven products and research at the intersection of industry and academia. She has progressed from engineering roles at Oracle to data science leadership at The Trade Desk and research-focused applied science at Microsoft Research NYC, bringing both production-grade software engineering and rigorous experimental methods to large-scale adtech and ML systems. Her background includes a Columbia MS and ongoing PhD work at Imperial College London, reflecting a strong foundation in theory as well as applied modeling. Known for translating research insights into measurable business impact, she has led teams and projects across modeling, experimentation, and production deployment. Based in the UK, Pavithra blends hands-on coding expertise with strategic mentorship, often bridging gaps between research teams and product engineering. An uncommon strength is her sustained cross-domain trajectory—from early enterprise software engineering to senior data science leadership—enabling her to navigate both low-level system constraints and high-level algorithmic design.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at R. V. College of Engineering, Bangalore
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Imperial College London
Master of Science (M.S.), Master of Science (M.S.) at Columbia University in the City of New York