James Lee just graduated from New York University with a B.A. in Economics with a minor in Mathematics. James diversified his interests by taking classes in various fields such as Analytical Statistics, Econometrics, Linear Algebra, Organic Chemistry, and Labor Economics. Eventually the many interests began to crystallize into a hunger for the infinite possibilities in Data Science. James is an up and coming Data Scientist with a passion in research, analysis, and food. At NYCDSA James and his team created a multi-user music recommendation system called Orpheus. They trained and evaluated a collaborative filtering model using one million users, 300,000 songs and 50 million ratings in Spark, and used user listening history to make group recommendations in a flask app.