Curtis Neiderer is a Machine Learning Engineer and Data Scientist with experience in using statistical techniques and data science to develop, evaluate, and improve algorithms. Curtis has a background in electrical engineering and has worked in various roles in different companies, focusing on algorithm design, performance assessment, and modeling. Curtis has notable accomplishments in re-architecting satellite image processing algorithms, integrating algorithm models into system simulation, and creating GUI-driven tools for system compliance evaluation.
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