- ☀️🔋 Currently developing energyexplorer.io, a Django dashboard to calculate the value of a utility-scale front-of-meter solar energy generation project in CA.
- 🧐 Interests: The energy transition, zero-carbon energy deployment and financing, demand-side solutions to meeting climate goals.
- 🤓 Languages/frameworks I've worked with: Django, Python, R Shiny, R, Frontend web dev (HTML, CSS, JS)
- 🌱 I’m currently re-learning SQL.
- 😄 Pronouns: he/him
- ⚡ Fun fact: I love to surf 🌊🏄♂️ and am converting a utility van 🚐 into a camper van 🚐🏕️.
- 🌎 M.S. Environmental Science from the Bren School of Environmental Science and Management at UCSB
- 👨💻 Graduate from UCSD Extension's Data Science and Visualization Bootcamp
- 🌎 B.S. Environmental Science from Santa Clara University
- Originally from San Diego
- ⚡️🏙 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.
- 🌊🐟 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).
- 🛒🛍 Ecommerce Dashboard: Developed machine learning algorithms to predict customer reviews and willingness to reorder. Developed dashboard to interact with algorithm using Flask and Python.