Michael Delgado
Partner at Rhodium Group
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolMichael Delgado is a Partner at Rhodium Group with 13 years of experience applying quantitative analysis to the economic and financial implications of climate change. Trained in Earth Systems at Stanford, he has advanced through research and leadership roles at Rhodium since 2013, blending policy analysis, energy-market modeling, and team leadership. He contributes to open-source scientific tooling—improving xarray documentation and bug fixes—reflecting hands-on data-science skills that complement his policy work. Based in Denver, he pairs rigorous model-building experience from academia and national labs with practical consulting delivery for clients and policymakers. Notably, his background spans both technical implementation and clear communication of complex climate–economic interactions, helping translate models into actionable insights.
13 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.), Earth Systems (Energy Track), Master of Science (M.S.), Earth Systems (Energy Track) at Stanford University
Stackoverflow
14,559reputation
930kreached
584answers
11questions
dataframe
top-5%
python
top-1%
csv
top-5%
pandas
top-5%
numpy
top-5%
Github Skills (20)
python10
xray10
numpy10
xa10
documentation10
pandas9
pytest9
dataframe9
datasets9
data-analysis9
csv9
dask-distributed6
gis6
netcdf6
dask6
Programming languages (11)
Github contributions (5)
pydata/xarray
Apr 2018 - Jun 2022
N-D labeled arrays and datasets in Python
Role in this project:
Data Scientist
Data ScientistContributions:6 reviews, 9 commits, 10 PRs in 4 years 2 months
Contributions summary:Michael primarily contributed to improving the xarray library by fixing bugs and enhancing documentation. They corrected grammatical errors in documentation, deprecated functionality, and addressed incorrect assertions in test files. Additionally, the user contributed to documentation around specific functions and the implementation of features, such as how to specify chunks in to_zarr encoding arguments, allowing for a better developer experience.
pythonnetcdfnumpydaskarrays
RhodiumGroup/docker_images
Apr 2018 - Aug 2020
Docker images for Rhodium's jupyterlab deployments
Contributions:9 releases, 108 PRs, 320 pushes in 2 years 4 months
jupyter-notebooknotebookdockerjupyterlabjupyter
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