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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

Nicolas's Projects

book-recsys icon book-recsys

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

flight-delay icon flight-delay

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

food-security-app icon food-security-app

A Streamlit hosted Dashboard providing charts and metrics about Food Security in countries.

letterboxd-recommender icon letterboxd-recommender

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

parisian_rents icon parisian_rents

A Web Application based on a machinea learning model trained on parisian rents data.

song-lyrics-topic icon song-lyrics-topic

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

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