New Delhi, India Open to Energy, Climate & Strategy Roles

PULKIT GARG

Energy Transition  ·  Quantitative Analysis & Modelling  ·  Energy Economics

Research professional working at the intersection of energy economics, quantitative modelling, and energy transition. Currently with TERI's Energy Assessment & Modelling team, contributing to research on decarbonisation, power markets, and analytical modelling.

I enjoy translating complex systems into clear insights that support decision-making across policy, business, and public institutions.

Career Arc Three disciplines, one direction.
Engineering
ECE · HFCL
→
Business Economics
MBA · ITC
→
Power Systems
CEEW
→
Energy Assessment & Modelling
TERI
Now →

"Energy is the currency of the universe; economics is how we budget it."

Writing & Insights
Research Beyond Work
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Published · Jul 2026
Is EPI a Fair Measure of Environmental Progress?
Read Article
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Coming Soon
India's Coal Debate Is Asking the Wrong Question
Publishing Soon
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Climate Finance: Promises, Gaps, and What Actually Counts
Publishing Soon
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Why the Energy Transition Is Smaller Than You Think
Publishing Soon

About

Who I Am

With a background spanning electronics engineering and business economics, I have worked across research, analytics, and strategy. That foundation now sits at the centre of my work in energy modelling and transition policy.

My current work at TERI focuses on decarbonisation and economic modelling, exploring frameworks like energy-system and economic modelling to understand how economies shift toward cleaner energy systems. Before this, I worked with CEEW's power markets team on renewable energy integration, curtailment analysis, and climate-economic research.

"I enjoy turning complex questions into structured insights, using data, economic reasoning, and analytical thinking to support better decisions across energy and public policy."

Outside work, you will find me on a badminton court, planning my next trip, or reading about energy markets, climate policy, and economic systems.

View Resume
Pulkit Garg

Experience

Where I've Worked

TERI — The Energy and Resources Institute
Associate, Energy Assessment & Modelling
May 2026 – Present
  • Conducting quantitative research on energy-transition pathways and industrial decarbonisation, examining India's Carbon Credit Trading Scheme (CCTS) and its economy-wide implications for sectoral emission targets.
  • Contributed to a multi-criteria assessment of alternative vehicular fuel pathways, analysing mineral waste, hazard severity, and policy impacts across India's transport energy transition.
  • Developing applied modelling capability in energy-system to assess energy-transition.
CEEW — Council on Energy, Environment and Water
Research Intern, Power Market
Jan 2026 – Apr 2026
Climate Heat Exposure & Industrial Productivity
  • Conducted panel econometric analysis of climate-induced heat exposure on industrial output and labour productivity using plant-level ASI data integrated with district temperature indicators.
  • Built and harmonised a large unbalanced factory-year panel, resolving survey redesign and geographic inconsistencies for credible exposure estimation.
Renewable Curtailment & Ancillary Services
  • Assessed solar and wind curtailment using plant- and state-level generation data across multiple states and regional grids; evaluated curtailment under TRAS and its implications for Ancillary Services compensation.
  • Examined re-backdown mechanisms and energy storage arbitrage economics relevant to renewable-integration policy and power market design.
ITC Ltd.
Marketing Research Intern
Summer 2024

Rural market research and retailer analysis for the Mom's Magic brand. Contributed to a distribution strategy that drove a 60% regional sales uplift, grounding the analytical toolkit in commercial and market realities.

Prior to the above: 5G R&D Intern at HFCL (2023), focused on hardware testing and system integration.

Projects

Selected Work

Output Temperature Exposure Heat Stress Labour Productivity
Econometrics · Climate RiskFeatured
Climate Risk & Industrial Productivity

Panel econometric analysis of heat exposure on industrial output, labour productivity, and energy consumption. Used plant-level ASI data and temperature indicators; built and harmonised a large unbalanced factory-year panel.

StataPanel DataASI DataClimate Risk
Grid frequency and ancillary services
Power Markets · Grid AnalysisFeatured
RE Integration, Curtailment & Ancillary Services

Assessed solar and wind curtailment across states using plant-level generation data. Evaluated TRAS Down ancillary services, re-backdown compensation mechanisms, and energy storage arbitrage under India's evolving power markets.

Power MarketsData AnalysisPolicy AnalysisTRAS
Electric Bus Depot
Research · SimulationFeatured
E-Bus Depot Simulation: Optimising Urban Charging

Modelled a real-world e-bus depot (110 buses, 21 chargers) using Monte Carlo simulations, validated through field visits and stakeholder interviews, to recommend optimal urban EV charging infrastructure.

PythonSimPyMonte CarloPrimary Research
Energy Poverty HDI
Econometrics · PolicyFeatured
Impact of Energy Poverty on HDI

Constructed a Multidimensional Energy Poverty Index (MEPI) from NFHS data using PCA-based weights. Modelled MEPI's impact on HDI via panel regression; identified state clusters highlighting regional disparities.

StataPCAPanel RegressionPolicy
GHG Forecasting
Time Series · Forecasting
GHG Emissions Forecasting — India

Forecasts India's GHG emissions using SARIMAX and EGARCH models, capturing macroeconomic drivers and volatility trends for climate policy insight.

SARIMAXARCH/GARCHPythonStata
United Airlines Dashboard
Power BI · DashboardAnalytics
United Airlines Flight Delay Analytics

4-page Power BI dashboard analysing 766K flights across 126 U.S. airports. DAX and Power Query to surface delay patterns and strategic recommendations.

Power BIDAXData Visualisation
Bike Sharing
Forecasting · Time SeriesAnalytics
Bike Sharing Demand Forecasting

Facebook Prophet model with cross-validation and holiday adjustments to forecast bike-sharing demand across seasonal patterns.

ProphetPythonTime Series
Customer Churn
Machine Learning · PythonAnalytics
Customer Churn Prediction Model

Random Forest model identifying high-risk churn customers in the energy sector, with feature engineering and EDA to surface key predictors.

Scikit-learnRandom ForestEDAPython

Areas of Interest

What Excites Me

Energy Transition Strategy & Modelling
Decarbonisation & Climate Policy
Energy Markets & Systems
Sustainability & Climate Advisory
International Energy & Development Policy
Data-Driven Decision Support

Skills

What I Work With

Domain Expertise
Energy Transition
Energy Systems & Modelling
Policy Analysis
Decarbonisation
Climate Risk & Economics
Analytical Methods
Econometrics & Panel Data Modelling
Energy-system Modelling developing
Scenario & Pathway Analysis
Forecasting & Time Series
Multi-Criteria Decision Analysis
Tools
Python (Pandas, NumPy, Scikit-learn)
Stata
Power BI & DAX
SQL & Excel
GAMS developing