I am passionate about data science, composing music, and the outdoors.

I am an experienced Data Scientist with a passion for and expertise in recommendation systems, machine learning, analytical software design, and building effective Data Science teams. I have worked in the fashion, digital advertising, and labor market analytics domains.

In my latest role at True Fit, where I designed personalization algorithms, I had the opportunity to author a paper on evaluating offline fashion recommendations that was accepted to the Fashion Workshop at the 2019 ACM Recommender Systems conference. I was fortunate enough to travel to Copenhagen to present the paper to 60 workshop attendees.

In my free time, I love to write music, ski, hike & take photos, and appreciate architecture. I've recently developed an appreciation for jigsaw puzzles, and am a member of a competitive puzzle team. You can find some of my public Data Science projects on my Github.