Courtney Layman is a highly skilled data scientist with extensive experience in computer vision and analytics. Currently serving as a Senior Data Scientist at GA-CCRi, Courtney previously held various leadership roles at Orbital Insight, including Senior Manager of Model Engineering and Manager of Computer Vision, where significant achievements included developing advanced object detection models and enhancing team collaboration. Prior experience includes positions at Astraea, B23, GEICO, and Credit Suisse, contributing to notable projects such as satellite imagery analysis and cloud infrastructure implementation. Courtney holds a Master's degree in Analytics from Georgia Institute of Technology and dual Bachelor's degrees in Computer Science and Mathematics from Elon University.
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GA-CCRi
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GA-CCRi maintains and deploys production systems for users across the Intelligence Community, Department of Defense, and commercial industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!