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Hi there šŸ‘‹ welcome to my Github!

  • ā˜€ļøšŸ”‹ Currently developing energyexplorer.io, a Django dashboard to calculate the value of a utility-scale front-of-meter solar energy generation project in CA.
  • šŸ§ Interests: The energy transition, zero-carbon energy deployment and financing, demand-side solutions to meeting climate goals.
  • šŸ¤“ Languages/frameworks I've worked with: Django, Python, R Shiny, R, Frontend web dev (HTML, CSS, JS)
  • šŸŒ± Iā€™m currently re-learning SQL.
  • šŸ˜„ Pronouns: he/him
  • āš” Fun fact: I love to surf šŸŒŠšŸ„ā€ā™‚ļø and am converting a utility van šŸš into a camper van šŸššŸ•ļø.

A little bit about me

Some of my past projects (see "pinned" section for repos)

  • āš”ļøšŸ™ Data Center Energy Dashboard: Developed interactive R shiny app that visualizes trends in data center energy use and reporting transparency of 40 (and growing) tech companies for the Industrial Sustainability Analysis Lab.
  • šŸŒŠšŸŸ Developed routine in Python for Scoot Science's quality control routine to detect erroneous sea surface temperature data from public and customer datasets (repo is private).
  • šŸ›’šŸ› Ecommerce Dashboard: Developed machine learning algorithms to predict customer reviews and willingness to reorder. Developed dashboard to interact with algorithm using Flask and Python.

šŸŒ Learn more about my work on my personal website

šŸ“« Connect with me on Linkedin

Thomas Wheeler's Projects

esm244-w2021-lab3 icon esm244-w2021-lab3

Lab 3: Binary & multinomial logistic regression, more wrangling tips, Shiny options

ml-ecommerce-dashboard icon ml-ecommerce-dashboard

Interactive dashboard which allows user to interact with 2 models predicting e-commerce customer decision-making after purchase.

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