Summary
Ashutosh Sanzgiri is a Principal Data Scientist Manager at Microsoft with a decade of experience architecting production ML systems for advertising, media intelligence, and TV-digital convergence. He blends deep research training—a Ph.D. in experimental particle physics and postdoc work at Yale—with hands-on engineering across embedded systems, DevOps and cloud-native ML pipelines. At Xandr and AppNexus he led contextual intelligence, content classification, emotion detection, and reinforcement learning efforts that directly improved targeting, revenue optimization, and automated sensitive-content detection. He is fluent across the full stack—Python/R/Scala, Spark/Kafka, TensorFlow/PyTorch, SQL/NoSQL, Docker/Kubernetes and multi-cloud deployments—and routinely shepherds models from research to scalable production. An advisor to the International Institute for Analytics, he pairs technical leadership with data ethics and strategy influence, and his background in experimental physics gives him a distinctive strength in rigorous signal extraction from noisy, real-world data.
11 years of coding experience
26 years of employment as a software developer
Graduate Certificate, Computational Finance, Graduate Certificate, Computational Finance at Oregon Graduate Institute
MS, Management in Science and Technology, MS, Management in Science and Technology at Oregon Health & Science University
Indian Institute of Technology Bombay
Ph.D., Physics, Ph.D., Physics at Texas A&M University