Ambitious creative thinker with a strong mathematical and computer science background who is always willing to tackle a challenging problem. Passionate about developing products to help users with information overload using machine learning and data visualization. Excellent verbal, written, and musical communication skills. At NYCDSA my team created a multi-user music recommendation system called Orpheus. We 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.