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Welcome to my portfolio site. With more than five years of experience in GIS, I have recently achieved a Graduate Certificate in GIS from Utah State University and am currently pursuing an MS in GIS from the University of Cincinnati. After a successful career in the cybersecurity sector, where I held executive positions in both start-ups and Fortune 100 companies, I have chosen to pursue my passion for GIS. My background brings a unique level of maturity and autonomous problem-solving capability to any role.
My skill set encompasses extensive expertise in spatial analysis, data visualization, and cartography. I possess practical proficiency in utilizing ArcGIS Desktop tools, including ArcPro and ArcMap, as well as ArcGIS Online, ArcPy Python, and ESRI Geodatabases.
Throughout my journey, I have undertaken several projects involving intricate spatial analysis and remote sensing. I have also created Python/ArcPy tools that have proven instrumental in streamlining processes and reducing repetitive tasks. I invite you to explore my portfolio and encourage you to reach out with any inquiries you may have.
Selected Projects
Post-Fire Mapping and Recovery Analysis Using Landsat8 Imagery
Post-Fire Mapping and Recovery Analysis Using Landsat8 Imagery
Link to the full project page
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ArcGIS Pro Custom Toolbox
ArcGIS Pro Custom Toolbox
I created a toolbox for ArcPro to speed up the process of creating wildfire progression shapefiles. Wildfire perimeter shapefiles are prepared on a daily basis for larger and longer-lasting wildfires. In order to create a fire progression shapefile, the prior day perimeter must be subtracted from the current day perimeter then all progression shapefiles must be merged into a single wildfire progression shapefile. This process can be time-consuming for long-lasting fires.
Visualization of Large Datasets
Visualization of Large Datasets
Large datasets can usually be very difficult to visualize and convey an easily understandable message to the viewer. I had a dataset consisting of 100 years of fire perimeter data for the US, with most of the perimeters overlapping each other. The acreage of each wildfire perimeter was standardized to a value between 0 and 1, then each value was added to its corresponding 100 square mile hexagon bin. The result gives an easy way to visualize the prevalence of wildfires over the last 100 years.
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