Karanvir Singh Prihar
Energy Data Analyst
Data analyst, Microsoft PL-300 certified, with an engineering foundation and three years spent measuring how Canadian homes actually use energy — a blower door, HOT2000 models, 250+ audits. I build analyses where energy-sector data meets field-tested judgment, because the sector generates enormous amounts of data and acts on too little of it.
Download resumeThe long way into data
My path started with a mechanical engineering degree from IIT Ropar in India, followed by two years in automotive manufacturing at Tata Motors.
I completed a master's in aerospace engineering at the University of Toronto in 2020 — right as COVID hit and the engineering job market went quiet. I took on whatever work I could find, from truck mechanic to Uber deliveries, while I figured out my next move. A friend working as a Registered Energy Advisor introduced me to the field, and it clicked immediately: here was engineering I could measure. Every house was a system with inputs, losses, and a number at the end that told you whether you were right.
I got certified and spent the next three years walking through 250+ homes across Canada with a blower door, a clipboard full of measurements, and a methodology built on decades of building science research. Every audit fed into a report and an energy model: air leakage measurements, heat loss coefficients, equipment efficiency ratings, estimated savings by upgrade path. I was doing data work long before I called it that.
Now I do it by name. I passed the Microsoft PL-300 (Power BI Data Analyst Associate) in August 2026, and I've been building the rest of the toolkit in public — an end-to-end SQL and Python analysis of Ontario's electricity generation mix, and a Power BI dashboard on energy use and emissions across Ontario's Broader Public Sector.
My edge isn't just technical skill. It's knowing what the numbers mean before the model runs — I can tell when a heat loss coefficient looks wrong before the dashboard can, because I've measured hundreds of them — and knowing which questions are worth asking in the first place.
2012-2016
Mechanical Engineering
B.Tech — IIT Ropar, India
Thermodynamics, fluid mechanics, manufacturing systems
2016-2018
Operations and Production Manager
Tata Motors Limited, India
30,000+ vehicles/year, driven by Global 8D & DMAIC
2018-2020
Aerospace Engineering
M.Eng — University of Toronto, Canada
Computational fluid dynamics, sustainable aviation
2022-2025
Registered Energy Advisor
Windfall Ecology Centre, Canada
250+ homes — blower door testing, HOT2000 modelling
2025-Present
Data Analyst
Self-directed + projects
SQL, Python, Power BI — two published projects,
Microsoft Certified: Power BI Data Analyst (PL-300)
- Advanced DAX & data modelling
- Statistical analysis in Python
- Data pipeline design
- EnerGuide rating prediction model — NRCan dataset, retrofit ROI framing
- Python for Data Analysis — Wes McKinney
- Storytelling with Data — Cole Nussbaumer Knaflic