Summary
Genevieve Shattow is a Head of Analytics with 12 years of hands-on experience building data platforms and models for IIoT and large-scale time-series systems. She combines a Ph.D. in Astrophysics with strong engineering skills in Python, SQL, ETL, and Snowflake to turn complex sensor and operational data into actionable analytics. At SmartSense she led analytics engineering efforts—building a centralized data mart, nightly snapshotting, and production reporting pipelines—that materially improved reporting consistency across legacy platforms. She also developed physics-informed models (virtual thermal buffering, battery-failure prediction) and automated test data pipelines that bridged hardware and analytics teams. Now leading analytics at ThroughPut.ai in Boston, she brings both deep domain modeling experience and pragmatic product-focused delivery. Unusually for a data leader, her background in astrophysics and mission planning gives her a track record of extracting insight from terabyte-scale scientific datasets and rapidly re-planning under changing conditions.
12 years of coding experience
9 years of employment as a software developer
Physics, Physics at University of Oxford
M.A. Physics, M.A. Physics at UC Santa Barbara
Boston Latin School
Ph.D. Astrophysics, Ph.D. Astrophysics at Swinburne University of Technology
B.A. Astrophysics, B.A. Astrophysics at Columbia University