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👋 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 personalization models and 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
  • GenAI: launched a number of first-to-market ChatGPT plug-ins and chatbots that are live on our site

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

🏛 History

👩‍💻 Experience

I've been at BuzzFeed for 4 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Perpetually outdated but hanging in there, here it is (last update: January 2024).

⁉️ 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

[email protected]

Melanie Tosik's Projects

cpp2 icon cpp2

C++ homework code and final project

dish-ai icon dish-ai

A minimal Flask API to generate random lunch reviews

hpc icon hpc

High performance computing (HPC) for ML

linsim icon linsim

Python implementation of Lin similarity

ml icon ml

coursera machine learning

nl-inference icon nl-inference

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

python-readability icon python-readability

fast python port of arc90's readability tool, updated to match latest readability.js!

srl icon srl

Semantic role labeling using linear-chain CRFs

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