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Jameel Jamhar

Hi, I’m

Jameel

I work where energy, mobility, economics, and data collide. That means modeling vehicle fleets, tracing battery supply chains, testing policy scenarios, and building financial models to figure out whether projects actually make economic sense. I like numbers — especially when I know where they came from.

Expertise

  • Transportation Energy Modeling
  • EV Market Analysis
  • Vehicle Fleet Modeling
  • Stock–Flow Modeling
  • Fuel Economy & ZEV Policy
  • Techno-Economic Analysis
  • Project Finance
  • Financial & Risk Modeling
  • Monte Carlo Simulation
  • Total Cost of Ownership
  • Battery Technology & Chemistries
  • Battery Supply Chains
  • Critical Minerals
  • EV Trade & Market Intelligence
  • Energy & Transportation Policy
  • Applied Data Science
  • Machine Learning for Energy & Mobility

Off the clock

  • Football
  • Cooking
  • Movies
  • Gaming
  • Squash
  • Mythology
  • Travel
  • History

Currently working on

  1. 01

    Vehicle Efficiency Standards and Fleet Transformation in Kenya

    Stock–flow modeling for Kenya's first vehicle efficiency standard, with the Vehicle Efficiency Working Group.

    Clean Transportation Policy · Vehicle Efficiency

    Ongoing
  2. 02

    Battery Chemistry and Cell Mapping for the GSTEM Model

    Mapping battery chemistries and cell formats for the Global Sustainable Technologies and Energy Materials model.

    EV Battery Chemistry · EV Supply Chains & Trade · In preparation

    Ongoing
  3. 03

    Compact Cities Electrified: Africa

    Urban transport scenarios across six countries: Ethiopia, Kenya, Nigeria, Rwanda, Tanzania and Uganda.

    Transport Modeling · Urban Mobility Transitions · In preparation

    Ongoing

Recent work

Research that ends in a number

  1. 01

    Who Pays for Virginia's Data Centres

    Virginia will commit $1.32 billion a year by 2040 against data-centre load that never shows up. Getting the allocation right is worth roughly fifteen times more to households than forecasting the load perfectly ever could.

    Cost Allocation & Rate Design · Electricity Demand

  2. 02

    Oregon Fleet Turnover and Technology Projections

    Part one of the modeling behind Oregon's Clean Fuels Program: a cohort stock-turnover projection of the state's four million road vehicles to 2050.

    Transport Modeling · Clean Transportation Policy

  3. 03

    EV Efficiency Potential and California Fleet Impact

    California's 2050 electric-vehicle electricity demand falls from 98.8 to 69.7 TWh under the best case tested — and barely half of that comes from making vehicles more efficient. The rest comes from not letting them get bigger.

    Transport Modeling · Vehicle Efficiency

All work

My stack

What I reach for

01 — Programming & Data

  • Python

  • SQL

  • MATLAB

  • R

  • pandas

  • NumPy

  • Jupyter

  • Git / GitHub

02 — Machine Learning & AI

  • scikit-learn

  • LightGBM

  • Claude Code

  • RAG

  • MCP

  • Agentic workflows

03 — Energy, Process & Financial Modeling

  • Aspen Plus

  • CHEMCAD

  • NREL SAM

  • FASTSim

  • Excel + VBA

  • H2FAST

04 — Data Visualization & Web Applications

  • Plotly

  • D3.js

  • Streamlit

  • React

  • JavaScript / TypeScript

  • HTML / CSS

  • Framer

  • Power BI