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bm1nhtr/README.md

Data Science student based in France, passionate about Artificial Intelligence, especially:

  • Personalization
  • Recommendation Systems
  • Quantitative Trading

I enjoy building intelligent systems that combine performance, reliability, and an excellent user experience.

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  1. binary_options_mm binary_options_mm Public

    Market-making bot for binary options ; pricing, quoting, inventory, and risk.

    Python

  2. UIR-CourseRec UIR-CourseRec Public

    [WI-IAT 25'] Reward Shaping for Reinforcement Learning-Based Job-Oriented Course Recommendation

    Python

  3. CourseRecSys_CLIRS CourseRecSys_CLIRS Public

    A reinforcement learning-based system that recommends courses to help learners achieve their goals.

    Python

  4. RAG-Pipeline-LLM-Evaluation RAG-Pipeline-LLM-Evaluation Public

    A basic RAG (Retrieval-Augmented Generation) implementation and evaluation methodology built with Python.

    Jupyter Notebook

  5. MovieRecSys MovieRecSys Public

    Using Matrix Factorization to capture user-item interactions. Compared several models to minimize the loss function with gradient descent in TensorFlow

    Jupyter Notebook

  6. QuFiSQL QuFiSQL Public

    (EFREI) Python/MySQL console app for quant finance client management

    Python