Zane Selvans
Co-Founder & Data Liberation Engineer
Chiapas, Mexico
Summary
👤
Senior🎓
Top SchoolZane Selvans is a Co-Founder and Data Liberation Engineer with 18 years of experience turning messy public energy data into analysis-ready resources for NGOs, journalists, researchers, and climate activists. He leads Catalyst Cooperative’s efforts to integrate, standardize, and disseminate utility and fossil-fuel datasets using an open-source Python stack (Pandas, Dagster, DuckDB, Pydantic, etc.), and has made notable contributions to the widely used Public Utility Data Liberation Project (pudl). His background blends PhD-level scientific modeling and GIS from Caltech and CU Boulder with decades of production engineering and systems work, enabling rigorous data pipelines and reproducible analyses. Based in Chiapas, he combines technical depth with policy-savvy experience from prior roles in energy policy and research, and a practical, field-oriented outlook informed by wilderness medicine and hands-on systems administration.
18 years of coding experience
14 years of employment as a software developer
California Institute of TechnologyPhD, Planetary Geophysics, PhD, Planetary Geophysics at University of Colorado BoulderWFR, Wilderness Medicine, WFR, Wilderness Medicine at National Outdoor Leadership School
Spanish, Japanese
Stackoverflow
11reputation
715reached
1answer
1question
Github Skills (10)
etl10
pandas10
data-transformation10
python10
data-engineering9
pydantic8
python-sphinx6
autodoc6
mocking6
read-the-docs6
Programming languages (23)
Github contributions (5)
catalyst-cooperative/pudl
Nov 2016 - Jan 2023
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:14 releases, 2697 reviews, 3110 commits in 6 years 3 months
Contributions summary:Zane refactored the transform refactor example by implementing data transformation functions using pandas dataframes and the creation of immutable Pydantic models to store parameters. They also updated the notebook and utilized a factory function for creating multi-column transform functions. Furthermore, the user made changes to standardize data frame column names and implement a dedicated class for the electric plant in service table transformation.
climateddjpythonghgferc
catalyst-cooperative/cheshire
Apr 2022 - Dec 2022
A template repository to make setting up new Python projects easier and more uniform.
Contributions:1 release, 10 reviews, 123 commits in 7 months
templatepythonsettingpython-projectspython3
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