Creativity & Automation

I'm an analyst at Statistics Canada on the Survey of Household Spending (SHS). I lead the division's push to move off legacy SAS into R and Python—building validation programs that make our lives easier, validating survey data against economics and current events, and coaching teams and management on GitLab, Python, R, and OneLake. I like turning messy processes into things that run themselves.

Before SHS, I held various roles at StatCan: I maintained the Longitudinal and International Study of Adults (LISA), led the rerelease of Wave 3, and spent a year in the Data Science Division building predictive models and dashboards for Health Canada and the Public Health Agency of Canada. I also founded the first Kaggle Competitive Group at Statistics Canada and led research on food insecurity—two published papers and a validation report.

I have a B.Econ (Honours) with a minor in Statistics from Carleton University. My thesis, The Impact of Substance Abuse in Tennessee: The Relationship between Low Birth Weight and Substance Use During Pregnancy, advised by Michel Demers, looked at how the opioid crisis affected pregnancies. I've built anomaly detectors, NAICS classification models, and translated thousands of lines of STATA to SAS. I'm happiest when I'm building tools that help people work smarter.