Energy · Public Safety · Data
I'm Jeff Ahmadi. I turn primary data — system-operator feeds, public records, open-government datasets — into the analysis the headlines tend to skip, across the systems we rely on: the power grid, public safety, the city. Every piece here is built from source data you can trace and reproduce, not press-release talking points.
Writing
Ontario runs one of North America's cleanest grids — and the usual line is that it's basically decarbonized. The hourly generation data tells a less comfortable story: the emissions-free share has slipped from 93% to 80% in five years as natural gas tripled. Here's what the numbers show, and why the "job done" narrative misses it.
Read the analysis →Firefighters answer far more than fires. Using a decade of Montreal open data, I built a borough-level model to find where road accidents pull the fire service hardest — and the answer isn't bad weather. It's intersections in commercial zones, under clear skies. Two interactive dashboards and the method behind them.
Read the analysis →New analysis lands here as I publish it — follow along on LinkedIn.
About
I analyse systems through their data: how an electricity grid generates and emits, where road emergencies strain a fire service, and — across domains — where the public narrative drifts from what the records actually show. The work starts at the original publisher — system operators, regulators, municipal open-data portals — and is validated against known figures before any chart gets drawn.
My standard is simple: a claim is only as good as the data behind it and whether someone else can reproduce it. So the analysis here is transparent about scope, sources, and the places the numbers don't say what people assume they do.
Primary-source data — cleaned, modelled and analysed in Python, SQL, Power BI and Tableau, from star-schema BI models to machine-learning classifiers — with every figure reconciled against published totals.