About me

I have been doing data science since long before data science was a thing.

I have applied data science to telecom while at Alcatel/Nokia, BlackBerry, Akamai; fintech while at Ario/Thinking Capital; eCommerce while at Shopify, and at Meta on improving video recommendations. I now work at Viamo, “improving lives via mobile” … ok, ok … “Improving ‘improving lives via mobile’ via data!”

I also teach an intro to data science course to MBA students at University of Ottawa.

I used to co-lead Data for Good in Ottawa: volunteer data scientists trying to make Ottawa better by helping local charities. You can see a bit more about how D4G Ottawa used to work, and largely still does, here. It is a great way to improve your data science skills, meet cool people, and help the city.

Before Alcatel, in reverse chronological order: I worked at a networking start-up (Sedona networks); managed the IT dept for the Liberal Party of Canada; did IT consulting for ISA Corporation; developed software for gas turbine engine test cells at MDS Aero Support; and worked at Lafarge, first as a strategic planning analyst, and later also doing IT support & some coding.

I have a PhD in Probability and Statistics, my thesis was an abstract version of figuring out how big a reordering buffer was needed on a router - which lead to figuring out some properties of random Mallows permutations. A not-so-technical overview of part of it is here.

My M.Sc. was about how to statistically estimate the effective bandwidth (which is a measure of resource usage) of various telecom network traffic streams.

You can find me on LinkedIn, Twitter, and/or Mastodon.