Mia Schwinghammer
Environmental Data Scientist
Education:
BA, Data Science, University of California, Berkeley
BA, Cognitive Science, University of California, Berkeley
Mia Schwinghammer is an Environmental Data Scientist at Floyd|Snider with a background in Data Science and Cognitive Science from the University of California, Berkeley. Mia brings an interdisciplinary approach to environmental problem-solving, combining technical data expertise with an understanding of human behavior and decision-making. Prior to joining Floyd|Snider in 2026, Mia served as a Data Manager for the Eviction Research Network where she cleaned and analyzed large-scale eviction filling datasets. Her work supported the development of data visualizations that have informed state-level housing policy and improved public understanding of housing instability. Mia is interested in finding creative solutions to increase data cleaning efficiency and creating accessible data visualizations. She utilizes data as a tool to help clients and communities to better understand environmental challenges so that they can make informed decisions. Her passion for environmental stewardship is rooted in her experience as an outdoor guide and youth educator.
Professional Strengths
Data analysis and visualization for applied research.
Environmental data management and interpretation.
Communicating complex information to diverse audiences.
Interdisciplinary problem-solving.
Environmental stewardship education.