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Building
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Building
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npogeant/README.md

Welcome ☘️

  • 👋 Hi, I’m Nicolas, Data Scientist with 3 years' experience in designing and deploying machine learning models to solve specific prediction and NLP problems. What I loved the most is developing powerful, flexible and resilient ML systems.
  • 🔭 You can find my portfolio here
  • 🌱 I write articles here
  • 📫 How to reach me: [email protected] or on my linkedin

Nicolas's GitHub stats

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  1. flight-delay flight-delay Public

    A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.

    Jupyter Notebook 26 2

  2. book-recsys book-recsys Public

    A recommender system for book recommendations developed within a production-ready workflow. This project utilizes Metaflow, AWS, and the Surprise library.

    Jupyter Notebook

  3. hotel-booking-aws-pipeline hotel-booking-aws-pipeline Public

    An AWS Sagemaker Pipeline for Hotel Bookings Classification using s3, Lambda.

    Jupyter Notebook

  4. letterboxd-recommender letterboxd-recommender Public

    A Content Based Filtering Recommender System of current popular movies from Letterboxd based on the tastes of a specific user.

    Python 1

  5. song-lyrics-topic song-lyrics-topic Public

    A python based project for topic modeling song lyrics from Genius, using OCTIS.

    Python 6 3

  6. reddit-post-summarizer reddit-post-summarizer Public

    A Reddit post summarizer using a fine-tuned model monitored with Weight & Biases.

    Python