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 NYC Data Science Academy 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.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
