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  • Energy Solutions
  • Los Angeles, CA
  • 09:27 (UTC -07:00)

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@energy-solution @YPCCC

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atreyagagan/README.md

I am a Data Scientist in the Clean Energy/Decarbonization sector who specializes in applied machine learning, statistical modeling, geospatial data science, and computational social science.

My current role is Data Scientist II at Energy Solutions where I mostly work on decarbonization in the US energy grid.

My broader interests and expertise lie at the confluence of advanced statistical modeling and machine learning, survey statistics, Bayesian inference, geospatial statistics/remote sensing, computational social science/NLP, and reproducible computing, workflow automation and systems engineering in Unix/Linux environments.

Programming Languages & Visualization Tools

R Python Julia SQL Tableau ArcGIS Shiny Quarto

Cloud/Warehousing

BigQuery Snowflake AWS S3 Amazon Redshift

DevOps/Environment

Git Bash Linux

Pinned Loading

  1. factor_analysis_R_workshop factor_analysis_R_workshop Public

    Materials for Factor Analysis workshop/webinar taught in early 2024.

    HTML 2 1

  2. resstock resstock Public

    Forked from NatLabRockies/resstock

    Highly granular modeling of residential building stocks at national, regional, and local scales using OpenStudio/EnergyPlus.

    Ruby

  3. LLMs-from-scratch LLMs-from-scratch Public

    Forked from rasbt/LLMs-from-scratch

    Implement custom LLMs in PyTorch from scratch, step by step

    Jupyter Notebook