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Karanvir Prihar
About

Karanvir Singh Prihar

Energy Data Analyst

Mechanical and Aerospace Engineer and Registered Energy Advisor transitioning into data analytics. Two years in automotive manufacturing, several years auditing homes across Canada, and a growing conviction that the energy sector needs better data thinking.

The 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 then completed a master's in aerospace engineering at the University of Toronto. When engineering work in Canada didn't pan out the way I'd hoped, I spent time in different roles before becoming a certified Registered Energy Advisor — walking through hundreds of homes with a blower door, a thermal camera, and a clipboard full of measurements.

Every audit ended with a spreadsheet: air leakage rates, heat loss coefficients, estimated savings by upgrade path. I was doing data work long before I called it that.

Now I'm making that transition explicit — learning Python, SQL, and statistical analysis, and applying data thinking to the energy sector I already understand deeply.

My edge isn't just technical skill. It's knowing what the numbers mean before the model runs, and knowing which questions are worth asking in the first place.

Career timeline

01

Mechanical Engineering

B.Tech — IIT Ropar, India

Thermodynamics, manufacturing, fluid mechanics

02

Automotive Manufacturing

Tata Motors — 2 years

Production engineering at an automotive plant

03

Aerospace Engineering

M.Eng — University of Toronto

Graduate studies, Canada

04

Registered Energy Advisor

Field Auditor — Canada

NRCan EnerGuide home energy audits

05

Data Analyst (in transition)

Self-directed + projects

Python, SQL, energy analytics portfolio

Skills & tools
Data & Analytics
PythonPandasNumPySQLMatplotlibSeaborn
Energy Domain
EnerGuideNRCan ProtocolsEnergy ModellingHVAC SystemsBuilding ScienceBlower Door
Tools & Platforms
Git / GitHubJupyterPower BIExcelVS CodeLinux CLI
Currently
Learning
  • Machine learning fundamentals
  • Statistical modelling in Python
  • Data pipeline design
Building
  • Energy audit analytics dashboard
  • NRCan dataset CLI tool
  • This portfolio
Reading
  • Python for Data Analysis — Wes McKinney
  • The Art of Statistics — David Spiegelhalter
  • Building Science Corporation field guides