Work Experience
Throughout my 5 year career, I have worked on numerous geospatial projects focusing on defense and intelligence, wildfire behavior, water quality, and many others. As a Geospatial Analyst II at Axim Geospatial, I analyze, clean, and prepare large geographic datasets for our production mapping team. Furthermore, I help determine optimal data management practice and utilize python to automate processes.
Owner: Argus Geospatial Solutions
June 2022 - Present
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Perform complex geospatial modeling/analysis by developing and deploying machine learning algorithms
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Analyze and prepare geographic datasets for ready-to-use applications
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Conduct quality assurance on data and provide meaningful feedback to the production team.
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Develop standard operating procedures and technical documentation on best GIS practices and geoprocessing efforts.
Geospatial Analyst II
February 2020 - Present
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Analyze and prepare geospatial data sets for production tasks by utilizing geoprogressing tools and python to clean, transforming, and combining data sets.
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Lead and manage geospatial content management projects.
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Develop, analyze, and manage data and geospatial products through interpreting satellite imagery to extract anthropogenic and natural features.
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Communicate to stakeholders and senior-level analysts on how databases were edited and transformed during the data cleaning process through presentations and documentation.
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Conduct quality assurance on data and provide meaningful feedback to the production team.
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Develop standard operating procedures and technical documentation on best GIS practices and geoprocessing efforts
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Train geospatial technicians on developing the skills necessary for GIS production mapping.
Geospatial Analyst (Contractor) as Argus Geospatial
June 2022 - Present
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Utilize diverse geospatial data sources to predict various geographic phenomena across the landscape.
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Analyze and prepare geographic data sets and remote sensing observations for large-scale carbon-related analysis across the Emerald Edge Rainforest.
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Utilize Python, R, and Google Earth Engine to apply machine learning algorithms to create model predictions and maps.
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Develop machine learning pipelines and document results to communicate with stakeholders.