Claire Palmer
GISP
GIS Programmer
San Francisco, CA, US
Claire Palmer is a property and casualty Geographic Information System (GIS) programmer. She is based in the San Francisco office of Milliman and joined the firm in 2021.
Experience
Claire’s areas of expertise include:
- Developing and managing API endpoints for Milliman PinPoint's geographic outputs related to flood and fire risk
- Creating pipelines for transforming large-scale telematics data into geospatial risk indicators
- Designing web maps using automated scripts and the Python Flask framework
- Developing Postgres/PostGIS databases for client deliverables
- Conducting spatial analysis to aid decision-making and actuarial modeling
Before joining Milliman, Claire served as the GIS coordinator for the Office of Emergency Management in the City of San Jose, where she developed GIS products and datasets to support incident response. Prior to that, she worked at Uber as a GIS analyst, focusing on the development of international basemap layers and data pipelines to align with a global roads model.
Publications and Presentations
Claire has presented on Geospatial Analysis using DuckDB at the CalGIS 2025 conference.
Professional Designations
- Certified GIS Professional (GISP)
Education
- BA, Philosophy, University of California, Santa Cruz
- MPS, Geographic Information Systems, Northeastern University
Publications
Read their latest work
Article
Advanced analytics in insurance: Utilizing building footprints derived from machine learning and high-resolution imagery
30 April 2025 - by Greg Dietzen, Garrett Bradford, Kailey Adams, Claire Palmer
High-resolution imagery in property insurance can identify unique exposures, such as roof characteristics and tree overhang, helping produce fairer premiums.