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.
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.
Outside work, you will find me on a badminton court, planning my next trip, or reading about energy markets, climate policy, and economic systems.
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.
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.
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.
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.
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.
Forecasts India's GHG emissions using SARIMAX and EGARCH models, capturing macroeconomic drivers and volatility trends for climate policy insight.
Facebook Prophet model with cross-validation and holiday adjustments to forecast bike-sharing demand across seasonal patterns.
Random Forest model identifying high-risk churn customers in the energy sector, with feature engineering and EDA to surface key predictors.