GIS Specialist

• 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

GIS Intern

• 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

GIS Intern

• 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

• ArcGIS Pro | ArcGIS Enterprise | ModelBuilder | ArcGIS Online | Esri StoryMaps | QGIS | VertiGIS Studio | Survey123 | Global Mapper

• MySQL | Microsoft Products (Excel, Word, Powerpoint, Outlook, Teams) | git & GitHub | Adobe Illustrator

• Python
  • Arcpy | Geopandas | GDAL | Pandas | NumPy | scikit-learn | Matplotlib | Seaborn | RegEx
• Javascript
  • Leaflet | Mapbox GL | JQuery
• HTML5/CSS
  • Bootstrap
• R & RStudio
• SQL
• Arcade

University of Wisconsin - Madison

• Cartography and Geographic Information Systems (B.S.)
• Physical Geography: Earth Systems and Environmental Processes (B.S.)

• Environmental Studies

• 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.