Yash Kumar
Graduate Research Assistant
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolYash Kumar is a PhD candidate and graduate research assistant at UT Austin with eight years’ experience applying mathematical optimization, stochastic modeling, and data engineering to energy systems and robotics. He has built production-grade models—from MIP-based EV charging and economic dispatch analyses to stochastic motion-planning—and cut forecasting error with deep learning in industry settings. At Catalyst Cooperative and in contributions to the well-known PUDL open-source project he developed interpretable spatio-temporal demand allocation and geospatial resampling functions, blending Python, geospatial libraries, and reproducible data pipelines. His background spans national lab collaborations, DoE reporting, and Amazon-scale forecasting and counterfactual analysis, reflecting an ability to translate research into policy-relevant and commercial impact. Notably, he pairs rigorous theory (operations research, stochastic programming) with hands-on data wrangling and software development to deliver actionable energy insights.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Doctor of Philosophy - PhD, Operations Research and Industrial Engineering, Doctor of Philosophy - PhD, Operations Research and Industrial Engineering at The University of Texas at AustinMaster of Science - MS, Energy Science, Technology and Policy, Master of Science - MS, Energy Science, Technology and Policy at Carnegie Mellon University
Stackoverflow
21reputation
137reached
1answer
2questions
Github Skills (13)
etl10
pandas10
geopandas10
data-pipeline10
data-pipelines10
python10
geospatial-analysis10
data-engineering10
sqlite8
open-data7
open3d6
dictionary6
voxel6
Programming languages (3)
Github contributions (5)
catalyst-cooperative/pudl
May 2020 - Oct 2020
The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
Role in this project:
Data Engineer
Data EngineerContributions:36 commits, 4 PRs, 27 pushes in 5 months
Contributions summary:Yash primarily focused on developing and refining demand mapping functions within the project. Their contributions involved implementing new functions for geographic resampling of electricity demand, including creating functions to build intersection matrices and scaling them. The user updated function docstrings and modified existing functions, addressing bugs and incorporating pull request feedback. Their work focused on using Python and geospatial libraries to process and analyze energy system data.
climateddjpythonghgferc
catalyst-cooperative/electricity-demand-mapping
Apr 2020 - Oct 2020
Contributions:21 commits, 19 pushes, 5 comments in 5 months
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