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Scientific Data Visualization Intern
Space Systems•  May 2023 - Present
Support for Atmospheres, Modeling, and Data Assimilation (SAMDA) contract at NASA Goddard Space Flight Center • Developed a formerly IDL based data assimilation and visualization system for high resolution Earth systems modeling data using a scientific Python stack in a high performance Linux environment • Implemented regridding, resampling, and interpolation algorithms to manipulate high resolution, narrow band contours for GEOS (Goddard Earth Observing System) forecasts such as longwave infrared and aerosols • Improved regridding performance time by up to 6,117 times using Numba and Cython • Improved high resolution geospatial data ingestion times by up to 42 times using Pyogrio and data serialization • Utilized computational geometry, image processing, and data visualization techniques to reconcile data and coordinate spaces to GMAO specifications using Shapely, Pillow, GeoPandas, and Matplotlib • Designed a Python package consisting of documented libraries abstracting common functionality for improved maintainability and extensibility in a regression testing framework
Education
George Mason University
Physics, BS•  January 2023 - Present
Computational Physics Concentration
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