Ana Ordonez

Research Associate

Sacramento, California, United States
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Summary

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Senior
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Top School
Ana Ordonez is a research-focused scientific Python developer with a decade of experience applying spatial and climate data analysis to evaluate and improve climate model performance. Currently a Research Associate at Eagle Rock Analytics, she implements reproducible metrics in the open-source PCMDI Metrics Package using tools like Python, xarray, Jupyter, Bash, and QGIS. Previously a staff scientist at Lawrence Livermore National Laboratory, she maintained conda-forge packages, coordinated multi-institution software standards, and translated research into peer-reviewed publications and national short courses. Ana pairs rigorous coding and testing practices with strong communication skills—writing documentation, tutorials, and conference-ready presentations to make complex climate analytics accessible. Her background spans academia, industry, and open-source GIS work (including OpenStreetMap pipelines), reflecting a rare mix of domain science and production-oriented software engineering. Based in Sacramento, she is active on GitHub and focuses on creating robust scientific software that continues to serve users well after code is checked in.
code10 years of coding experience
job10 years of employment as a software developer
bookMaster of Science (M.S.) Atmospheric Sciences and Meteorology, Master of Science (M.S.) Atmospheric Sciences and Meteorology at University of Washington
bookBachelor of Science (B.S.) Geography, Bachelor of Science (B.S.) Geography at Arizona State University
languagesEnglish, Spanish
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Github Skills (35)

climate-model10
conda-forge10
python10
conda10
benchmarking10
climate-science10
driver8
evaluation8
jupyterhub7
machine-learning7
earth7
jupyter-notebook7
smithy6
esgf6
diagnostics5

Programming languages (6)

CSSShellNCLJavaScriptJupyter NotebookPython

Github contributions (5)

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A conda-smithy repository for pcmdi_metrics.
Contributions:35 pushes, 23 branches in 2 years 11 months
metricscondasmithy
acordonez/pcmdi_metrics

Nov 2020 - Aug 2024

Self contained packages to run PCMDI Metrics
Contributions:51 pushes, 21 branches in 3 years 10 months
metricsself-contained
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