I'm an experienced data scientist / ML engineer based in New York.
I currently work on building personalized ranking and recommendation systems at Grubhub.
Here's what a typical workday looks like for me:
I joined Grubhub in September 2024. Previously, I spent 5 years at BuzzFeed, where I touched on everything from ML infra to feed ranking, audience segmentation, generative AI, and of course more recommender systems. Before moving to New York I worked at a travel AI startup in Austin, TX. I also had a brief stint consulting at Underdog.io, and some previous internships as well as some teaching assistant roles at NYU.
I got my MS in Computer Ccience from NYU. For my undergrad I studied NLP at the University of Potsdam (near Berlin).
Perpetually outdated but hanging in there, here it is (last update: January 2024).
- Q: Can you help me become a data scientist? A: Maybe! I'm happy to answer specific questions, but it's very, very difficult to give generic career advice in this field. I picked up this book called Build a Career in Data Science by Emily Robinson and Jacqueline Nolis a few years ago and it's a great resource, so I'd still recommend you start there.
- Q: Book recs? A: All time favorites: The Book Thief and When Breath Becomes Air. Currently reading: The Impossible City by Karen Cheung and The Sandman graphic novels by Neil Gaiman.
- Q: What is that accent? A: It's German. One day I'm going to hire a voice coach to help me iron out my R's.
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