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Building
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Building
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npogeant/README.md

Welcome ☘️

Hi, I’m Nicolas, a data practitioner with a software mindset.

I build practical data projects around pipelines, automation, analytics engineering, and data systems.
My background sits between data analysis, data science, and engineering, but I’m mostly interested in clean tools and workflows that make data easier to use, maintain, and trust.

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  1. deckflow deckflow Public

    A programmatic PowerPoint presentation manager

    Python 3

  2. flight-delay flight-delay Public

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

    Jupyter Notebook 30 2

  3. 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

  4. hotel-booking-aws-pipeline hotel-booking-aws-pipeline Public

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

    Jupyter Notebook

  5. 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 3

  6. song-lyrics-topic song-lyrics-topic Public

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

    Python 6 3