Machine Learning Scientist (Security) at Snowflake
Sunnyvale, California, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Pallavi Tyagi is a machine learning scientist with nine years of experience applying data-driven methods to security and infrastructure problems, currently on the ML security team at Snowflake after leading innovation-focused ML work in the Office of the CTO at Illumio. She builds prototypes and production-ready models that translate network telemetry into actionable insights—recommendation systems for identifying critical infrastructure and anomaly detectors for traffic patterns are among her delivered work. Comfortable communicating findings to executives and cross-functional teams, she pairs exploratory and retrospective analysis with rigorous experiment design to produce trustworthy conclusions. Her background spans applied data science in startups and enterprise settings, plus early work in agritech where she built decision-facing soil moisture and yield analytics. Based in Sunnyvale, she blends practical engineering (earlier software engineering experience) with research-minded curiosity from a Data Science MS at UIUC. Colleagues rely on her knack for turning messy network data into clear, product-relevant features and prototypes.
9 years of coding experience
8 years of employment as a software developer
Master of Science in Information Sciences Data Science, Master of Science in Information Sciences Data Science at University of Illinois Urbana-Champaign
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.