An eight-week project that identified companies potentially involved in the production of materials used in the nuclear fuel cycle. Our team worked with many new technologies: PySpark, clustered computing on Amazon Web Services EMR, Sagemaker, and S3, and Parquet, monitoring billing for AWS services.
        
        
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    Appraiser's BFF
        
	Web app using machine learning to predict housing prices from user input
        
        
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    Nina - Supreme Court Prognosticator
        
	Interactive web app built with Dash that models Supreme Court decisions based on constitutional issues for federal laws
        
        
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