Summary
Gilles Pilon is a Principal Data Scientist with nine years of hands-on experience automating high-ambiguity manufacturing and quality workflows into zero-touch Python solutions. He builds end-to-end pipelines—from SQL extraction through advanced statistical modeling to LaTeX-ready reporting—and created the open-source dawgdad library used by industrial statisticians to streamline DOE and frequentist analyses. His work has repeatedly replaced weeks of manual analytics with reproducible code, delivering multimillion-dollar savings and cutting reporting times from days to minutes across global teams. A Six Sigma Master Black Belt and former trainer of hundreds of practitioners, he blends deep statistical expertise with pragmatic software engineering and strong version-control discipline. Based in Ottawa, he pairs command-line tooling (Arch Linux, Neovim) with production-grade testing (pytest) to ship durable automation. Outside work he pursues gravel cycling and nature photography, reflecting his affinity for endurance, detail, and field observation.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering - B.Eng., Metallurgical Engineering, Bachelor of Engineering - B.Eng., Metallurgical Engineering at McMaster University
English, French