Nathan Scollar

Machine Learning Research Intern at Nexcepta, Inc.

Nathan Scollar is currently a Machine Learning Research Intern at Nexcepta, Inc. and has prior experience as a Data Analyst Intern at Eagle Creek Renewable Energy LLC, where Nathan developed an image recognition model using a convolutional neural network (CNN) for fish species identification. Nathan also served as a Baseball Analytics Intern at Virginia Tech Athletics, analyzing data from Trackman software during games. In addition, Nathan completed a Software Engineer Internship at Plexus Corp., participating in an extensive C++ programming boot camp. Previous experiences include a Digital Leadership Academy at Cognizant, coding instruction at iD Tech Camps and Code Ninjas, and umpiring youth baseball games. Nathan is pursuing a Master of Science in Data Science at the University of Maryland after earning a Bachelor of Science in Computer Engineering from Virginia Tech.

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Nexcepta, Inc.

Nexcepta is a U.S. based technology company delivering cutting-edge R&D solutions, commercial products, and engineering services to both federal and commercial clients. Our portfolio spans a wide range of interdisciplinary solutions, including NextG communications and networks, cybersecurity, cloud and edge computing, artificial intelligence, machine learning, and data analytics. Our culture thrives on pioneering technologies crafted for impactful operational deployment. Our team of seasoned scientists and engineers is deeply committed to the power of science and technology, focusing on driving the development and advancement of cutting-edge innovations and transitioning them from the lab to real-world applications. The Nexcepta team brings extensive expertise in innovative R&D, government contracting, technology transition, product and business development, and program management. From novel concepts to fully realized solutions, Nexcepta’s accomplished scientists and engineers continuously push the boundaries of science and technology, delivering cutting-edge products.


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11-50

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