Christopher Darder is a Senior Data Scientist with 14+ years of hands-on experience applying geospatial intelligence and financial data techniques to deliver robust, production-ready solutions. He leads development and maintenance of NGA-focused Python libraries (notably SarPy and related GUI tools), overseeing code review, testing, packaging, and deployment across PyPI and conda-forge. Christopher combines deep EO/LiDAR processing and GIS QA/QC expertise with practical ETL, DevOps, and cloud migration experience—often turning manual workflows into automated, time-saving pipelines. He is adept at building user-friendly tools and documentation for secure environments, serving as a go-to SME who bridges analysts, engineers, and stakeholders. Trained with an MS and graduate certificate in Geoinformatics & Geospatial Intelligence, he brings a rare mix of field collection/processing discipline and software engineering rigor.
3 years of coding experience
5 years of employment as a software developer
Associates of Science, General Studies, Associates of Science, General Studies at Northern Virginia Community College
Geoinformatics and Geospatial Intelligence, Geospatial Intelligence Graduate Certificate, 3.78, Geoinformatics and Geospatial Intelligence, Geospatial Intelligence Graduate Certificate, 3.78 at George Mason University
Bachelor, Liberal Studies; History, Bachelor, Liberal Studies; History at University of Mary Washington
Contributions:5 PRs, 2 pushes, 3 branches in 11 months
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