Andrew Sciotti is a highly skilled professional with a strong background in machine learning and engineering. With a Master of Computer Science from the University of Illinois at Urbana-Champaign, Andrew maintains a 4.0 GPA while previously earning a Bachelor of Science in Mechanical Engineering, graduating Summa Cum Laude from the University of Massachusetts, Amherst. Andrew's experience includes working as a Machine Learning Engineer at Meta and Kensho Technologies, where responsibilities involved advanced machine learning applications. Previous roles include contributions to baseball analytics, research in radar and acoustic domains, and development of tools to enhance sensor analysis, showcasing proficiency in MATLAB, Python, and cloud technologies. Andrew's internships and research initiatives highlight a commitment to innovation and efficiency across diverse engineering challenges.
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