Cass Saldaña is a Social Science Data Librarian with nine years of experience helping researchers, students, and public agencies turn messy data into actionable insights across public health, education, and environmental domains. They combine deep data skills in R, Python, SQL, ETL, and spatial analysis with a learner-centered approach to teaching and curriculum design, having built workshops and communities—from hospital training series to a campus-wide Critical AI Learning Community. Cass has delivered applied analyses and linked datasets for state policy studies, automated high-volume public health pipelines that improved data quality and reduced labor, and mentors across academia in reproducible research practices. An advocate for open and civic data, they bring an empathetic, justice-oriented lens to technical work and are broadening their GIS and environmental science expertise through part-time graduate study in Rhode Island. A quirky aside: they balance serious NLP and data-literacy work with a fondness for cute cat photos and enthusiastic (if not expert) pinball play.
9 years of coding experience
1 year of employment as a software developer
Master of Science in Information, Data Science, 3.93/4.00 GPA, Master of Science in Information, Data Science, 3.93/4.00 GPA at University of Michigan - School of Information
Bachelor of Arts (B.A.), Anthropology, Bachelor of Arts (B.A.), Anthropology at Macalester College
Public-facing resources for Arcus Education workshops
Contributions:52 commits, 53 pushes, 1 branch in 6 months
arcus
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