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Currently interning at Airbus in AI/ML
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Currently interning at Airbus in AI/ML
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mathiasmoka/README.md

Hi there, I'm Mathias

  • I will graduate from École Polytechnique (l'X) in 2027 with a Master of Science in AI for Markets and Quantitative Investments.
    (List of courses)

  • I am also pursuing an engineering degree in Applied Mathematics (“cycle ingénieur”) at ENSAE Paris, which I entered in 2024 through France’s national competitive examinations after two years of intensive preparatory classes (CPGE).

  • ✈️ During the summer of 2026, I am undertaking an AI research internship at Airbus, combining statistical methods, machine learning, and time-series analysis to model non-conformities reported on manufactured aircraft.

  • 🏜️ For the past two years, alongside my studies, I have worked as a research assistant at École Polytechnique, affiliated with CREST — the Center for Research in Economics and Statistics.

  • 🚢 As part of my studies, I completed a 7-months machine learning research project for GTT, a global technology and engineering company, to predict and optimize the trajectories of LNG carriers across the world's oceans. Score awarded by the jury: 18.5/20

  • 🏗️ In 2025, I completed a three-month summer internship as a data scientist at the Paris-Saclay Development Authority (EPA Paris-Saclay).

  • 🚀 In 2024, I launched PrépaBooster, now an officially registered company. It is an e-learning platform that I developed using Python, PHP, SQL, HTML, CSS, and JavaScript. The platform provides access to more than 1,000 fully worked past examination papers for the competitive entrance examinations to French Grandes Écoles engineering programs.

  • 🔭 Curious and open-minded, I enjoy tackling complex challenges, notably by developing AI and machine learning solutions.

  • 🌍 I am fluent in both French and English and am always eager to discover new places and engage in cross-cultural experiences.

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  1. Dynamic-Grid-Trading Dynamic-Grid-Trading Public

    A research and backtesting framework for Dynamic Grid Trading (DGT), enabling systematic comparison and optimization of grid strategies across different parameter configurations.

    Python

  2. freqtrade-users-strategies freqtrade-users-strategies Public

    Automated testing and comparisons of FreqTrade Crypto Bot Strategies

    Python

  3. monte_carlo monte_carlo Public

    A Python implementation of a Bayesian GARCH(1,1) model using a Random Walk Metropolis MCMC sampler. Developed for the Simulations and Methods of Monte Carlo course at ENSAE Paris, featuring synthet…

    Jupyter Notebook 2

  4. hackerrank-orchestrate-august26 hackerrank-orchestrate-august26 Public

    Safety-first message notification router for the HackerRank Orchestrate challenge, combining recipient behavior, relationship history, media understanding, deterministic safety policies, and constr…

    Python 1

  5. anthoger04/linear_time_series_project anthoger04/linear_time_series_project Public

    TeX

  6. pyds25 pyds25 Public

    Project supervised by Aldric Labarthe, for the Lino Galiana course « Python for Data Science ». Pisch Mathias, Gerbier Anthony

    HTML