Work Experience

1. GIS Specialist
   Cambridge Systematics, Inc. · November 2025 – Present
2. GIS Specialist
   Westwood Professional Services · November 2023 – October 2025
   • Used Python and Model Builder scripts to automate collection, standardization, analysis, and uploading of large and often uncleaned spatial data
   • Organized and maintained data using both ArcGIS Enterprise and ArcGIS Online while regularly pulling data using the ArcGIS REST API
   • Constructed technical reports, presentations, and planning documents related to engineering and survey projects
   • Learned new software such as Survey123 and VertiGIS Studio to collect and deploy spatial data
3. GIS Intern
   State Cartographer's Office · October 2022 – May 2023
   • Collaborate in a team of four to create a high-resolution flood and exposure vulnerability map for Ashland County in northern Wisconsin
   • Populated, organized, and managed a multi-layer geodatabase used for hazard mitigation, resource allocation, vulnerability assessments
   • Develop a survey for regional leaders and emergency managers to assess areas of need in flood exposure vulnerability analysis
   • Actively contributed to team planning and execution, applying relational database structure organization using defined keys
4. GIS Intern
   High-Road Strategy Center · June 2022 – May 2023
   • Collaborated with a team of academics and students to create a municipal financial analysis report promoting more efficient and equitable development
   • Collected, cleaned, and analyzed datasets for 18 municipalities to construct 3-D financial analysis visualizations
   • Managed and automated analysis implementing geodatabases and ModelBuilder
   • Researched data analysis and presentation methods related to spatial municipal analysis

Skills

Education

1. University of Wisconsin – Madison
   May 2023
   Majors
   • Cartography and Geographic Information Systems (B.S.)
   • Physical Geography: Earth Systems and Environmental Processes (B.S.)
   Certificate
   • Environmental Studies
   Related Coursework
   • Advanced GeoComputing and Geospatial Big Data Analytics — Learned new ways to store, process, and analyze geospatial data using Python. Utilized different APIs including Flickr, Google Earth Engine, Geemap, and more.
   • Data Science Programming II — Learned to create tree and graph data structures to represent hierarchical data and implement algorithms for efficiently searching these structures. Learned and utilized techniques like logging, benchmarking, web scraping, and A/B testing.
   • Environmental Remote Sensing — Learned techniques for lidar data visualizations and processing. Utilized machine learning, post-processing, object-based analysis, and accuracy assessments on remote sensing imagery.