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  • Columbia University
  • NYC

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melissafeeney/README.md
  • 👋 Hi, I’m @melissafeeney
  • 👀 I’m interested in all things data science, especially NLP/NLU/NLI, deep learning, and transfer learning
  • 👩🏻‍💻 I'm a data scientist at Calvin Klein and Tommy Hilfiger in NYC
  • 📚 I recently earned my graduate degree in data science/quant methods from Columbia University in NYC
  • ✨ My graduate thesis, entitled Domain Generalization Abilities of Aspect-Based Sentiment Analysis Models using Transformer Encodings through Transfer Learning provided me with the opportunity to combine my interests in customer data and natural language processing by considering customer reviews- while getting to research different kinds of transformer-based deep learning language models- I was selected to be part of Columbia's annual MasterSythensis, where I was tasked with presenting my entire thesis research in 3 minutes and while using only one slide- check it out here!

Pinned

  1. MarchMadness_2023 MarchMadness_2023 Public

    Designing a bracket for the 2023 Men's NCAA March Madness Tournament using deep learning

    Python

  2. Deep-Learning-X-Ray-Classification Deep-Learning-X-Ray-Classification Public

    Jupyter Notebook 2

  3. columbia_datascience_hackathon2021 columbia_datascience_hackathon2021 Public

    can algorithms determine whether claims made about COVID-19 are real or fake?

    Jupyter Notebook 4

  4. algorithms algorithms Public

    Jupyter Notebook 1

  5. Columbia-Time-Series-Fall-2022 Columbia-Time-Series-Fall-2022 Public

    collection of assignments from my time series, panel data and forecasting course in Fall 2022 semester

    Jupyter Notebook

  6. Group_J_NYCRealEstate Group_J_NYCRealEstate Public

    Forked from QMSS-G5063-2021/Group_J_NYCRealEstate

    HTML 1