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melanietosik/README.md

👋 Hi, I'm Melanie

I'm a data lead, manager, and staff 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
  • RevTech: 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 Underdog.io 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Perpetually outdated but hanging in there, here it is (last update: August 2022).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.

Contact

first.last@mostcommonmail.com

Pinned

  1. ds1011teamproject/translation ds1011teamproject/translation Public

    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. NYU-FNC/FakeNewsChallenge NYU-FNC/FakeNewsChallenge Public

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

    Python 2 2

  3. nyc-crime-time-analysis nyc-crime-time-analysis Public

    NYC crime time analysis

    Jupyter Notebook 1 3

  4. viterbi-pos-tagger viterbi-pos-tagger Public

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

    Python 12 8

  5. bow-sentiment-classifier bow-sentiment-classifier Public

    Bag-of-words (BOW) sentiment classifier

    Python 3

  6. nl-inference nl-inference Public

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

    Python 3

2 contributions in the last year

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