Christopher Beddow is a seasoned geospatial data analyst with extensive experience in geographic information systems (GIS), computer vision, and data integration across various sectors. Beginning a freelance career as a Geospatial Consultant from July 2015 to August 2016, Christopher contributed to projects involving web mapping, spatial analysis, and Python scripting. As a GIS Analyst in NASA's DEVELOP Program, Christopher developed methodologies for forest change recognition using satellite imagery and machine learning. Previous roles include operational support and leadership in the US Army, independent research and writing, and significant contributions at Meta as a Senior Geospatial Data Analyst, focusing on data pipelines and UX research for geospatial applications. With a Master's Degree in Geographic Information Systems from the University of Washington, Christopher has further enriched expertise through roles at companies such as Mapillary and UCLA.
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