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Testing things
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Testing things

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godefroylmb/README.md

👋 Hello there!

LinkedIn GitHub Kaggle


My name is Godefroy, I'm a Data Science graduate from Institut Polytechnique de Paris & engineer from ISEP, with a strong focus on Data Science.

I love working on data-centric projects, exploring research papers, and turning abstract ideas into robust, production-ready pipelines. Recently, I’ve been building an image analysis pipeline for ladybug classification.

🎯 I'm currently working as a Data Consultant at SBI !

I'm passionate about:

  • 🧠 Applying ML/AI to real-world problems
  • 🧪 Reading & implementing cutting-edge research
  • 🖼️ Computer vision & OCR
  • 🛠️ Building end-to-end data pipelines


🚀 Currently working on:

  • 🧱 Modernizing my Billboard project to make the pipeline more robust, modular, and reusable for future data products
  • 🎧 Exploring content-based recommendation systems using NLP and topic modeling
  • 🔍 Deepening my understanding of ML experimentation, tracking, and reproducibility with MLflow

⚙️ Tech Stack

🧠 Data Science & Machine Learning

python pandas scikit_learn pytorch tensorflow seaborn

🗄️ Data Platforms & Databases

snowflake databricks postgresql

⚙️ DevOps & Tools

docker git

💻 Development

java spring javascript typescript react


📫 Let's connect

💬 I'm always up for discussing data, research, or project ideas.
Feel free to reach out or connect with me on LinkedIn!


Last updated on: 06/03/2026

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  1. Ladybug Ladybug Public

    Classifciation of a ladybug dataset using machine learning

    Jupyter Notebook

  2. Billboard Billboard Public

    Fetching data about billboard's charts and uploading it to kaggle

    Python 1

  3. Portfolio Portfolio Public

    Portfolio

    TypeScript