Summary
Ana Ordoñez is a research-focused Python developer and climate data specialist with nine years of experience in spatial analysis and scientific computing. As a Research Associate at Eagle Rock Analytics in Sacramento, she applies data-driven techniques to climate and environmental datasets. At Lawrence Livermore National Laboratory she led the development of the PCMDI Metrics Package and CMEC framework, maintains three conda-forge packages, and uses xarray, shapely, and geopandas for model evaluation. She also designs tutorials, organizes short courses at national conferences, and coordinates software standards across collaborating institutions. Her academic credentials include an MS in Atmospheric Sciences from the University of Washington and a BS in Geography from Arizona State University, with a published study on Arctic and Antarctic sea ice predictability. In addition to research, she contributed as a GIS analyst and open-source maintainer, reflecting a hands-on, impact-driven approach to turning complex climate data into actionable insights.
9 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.), Atmospheric Sciences and Meteorology, Master of Science (M.S.), Atmospheric Sciences and Meteorology at University of Washington
Bachelor of Science (B.S.), Geography, 4.0, Bachelor of Science (B.S.), Geography, 4.0 at Arizona State University
English, Spanish