Currently enrolled at NYCDSA learning Data Science and Machine Learning. Why Data Science? My interest in Data Science began in a class at Temple University called “Recording Industry and Music Business” with a section of the coursework dedicated to Metadata in music. My interest in DS grew further with an internship at a music curation company, where I regularly looked at song metadata, such as valence, energy, and BPM while building client playlists. I'm open-minded and interested in Data Science applications for music (record labels, streaming, etc.), sports analytics, fintech, big-tech cos, hedge funds and trading. Career background/Goals: I’ve worked supporting artists eCommerce Merchandise stores at Fame House and Mainfactor. I'm open to new opportunities working remotely or in New York City, San Francisco, and Los Angeles. Fun facts: I've lived and worked in Costa Rica in recent years + I used to live in Philadelphia and loved running up the Rocky Steps whenever I could.
