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👋 Hi, I'm Melanie

I'm a data lead, manager, and senior data scientist based in Brooklyn, NY.

I'm currently at BuzzFeed where I've worked on a bunch of different teams and projects now, most notably:

  • Apps: improved our feed ranking algorithms
  • Infra: designed a new API to generate article embeddings in real-time and improve load time for related content recommendations
  • Commerce: built an entirely new system to store and retrieve similar products based on image embeddings
  • AdTech: actively working on improved audience segmentation and targeting to drive more effective ad campaigns

Here's what a typical workday looks like for me:

🏛 History

👩‍💻 Experience

I've been at BuzzFeed for 3 years (plus an internship the year prior to joining full-time). Before moving to New York I worked at a travel AI startup in Austin, where I was part of a small team of NLP researchers and engineers. I had a brief stint consulting at as well, and some previous internships in recruiting.

👩‍🎓 Education

I got my MS in computer science from NYU. For my undergrad I studied NLP at the University of Potsdam (near Berlin).

📚 Resume

Perpetually outdated but hanging in there, here it is (last update: August 2022).

⁉️ FAQ

  • 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 a new book called Build a Career in Data Science by Emily Robinson and Jacqueline Nolis last year and it's a great resource, so I'd 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.



  1. Evaluate and compare three neural machine translation models, including RNN-based encoder-decoder, RNN-encoder-decoder with attention, and CNN-encoder-RNN-decoder with attention. [Team Project for …

    Jupyter Notebook 2

  2. CSCI-GA.2590 - Natural Language Processing - Spring 2018 - Term Project

    Python 2 2

  3. NYC crime time analysis

    Jupyter Notebook 1 3

  4. Viterbi part-of-speech tagger, trained on Wall Street Journal (WSJ) data

    Python 11 7

  5. Bag-of-words (BOW) sentiment classifier

    Python 3

  6. CNN/RNN model evaluation on the Stanford Natural Language Inference (SNLI) task

    Python 3

16 contributions in the last year

Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Mon Wed Fri

Contribution activity

November 2022

melanietosik has no activity yet for this period.

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