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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Shark

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Mark-KillianZ/README.md

Quantitative Finance Researcher | IT Quant – Equity Derivatives at Natixis | AI & Blockchain Enthusiast

Student at ESILV, Top 4% | Head of DeFi at KRYPTOSPHERE®

Hello

  • I’m @mkzpr04 aka Mark-Killian Zinenberg
  • Head of DeFi at KRYPTOSPHERE® and student-researcher at Esilv (Top 4%)
  • 🌱 I’m currently learning advanced quantitative models, machine learning for finance, and exploring blockchain technologies.
  • 💞️ I’m looking to collaborate on projects involving quantitative finance, algorithmic trading, AI or blockchain-based finance solutions.

Awards 🏆

  • Participated in the NextWise and the Bloomberg Trading Challenge, managed a million-dollar portfolio, and applied quant strategies.
  • Participated in Machine Learning Hackathons:
    • Prize Winner: LauzHack (EPFL, Lausanne) - Developed a fraud detection model for UBS, identifying transactions linked to the same entity in large datasets.
    • Top 20: Algothon (Imperial College London) - Maximized portfolio performance using machine learning, regression analysis, and mean-covariance optimization under strict constraints.
    • H-GenAI 2025 with Sia Partners: Secured 2nd place for Veolia by developing an AI-driven solution to streamline data quality checks, reducing manual work hours by automating anomaly detection and SQL query generation.

Skills

  • Proficient Languages: Python , C#, C++, Excel, LaTeX, Rust, R
  • Libraries: Tensorflow, PyTorch, Numpy, Pandas, Matplotlib, Seaborn
  • Version Control: Git, Linux
  • Database Management: MySQL
  • Certification: Bloomberg Market Concepts, AMF (scored 93%), A Primer on Quant Trading Course (udemy)

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Contact Me

X LinkedIn Telegram

Email: markzinenberg@gmail.com

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  1. Black-Scholes-Pricing-Model Black-Scholes-Pricing-Model Public

    An Excel sheet to price a call option

  2. Neural-Network Neural-Network Public

    Implementation of a neural network from scratch for image recognition (cat vs dog)

    Jupyter Notebook

  3. Prediction-airbnb- Prediction-airbnb- Public

    The goal of this project is to predict the rental price of an Airbnb based on a set of features

    HTML

  4. TransConnect TransConnect Public

    Application de gestion (CRM) pour une entreprise de transport. Nous abordons notamment la gestion des employés, des clients, et des commandes.

    C#

  5. MonteCarloStrategy MonteCarloStrategy Public

    This project leverages Monte Carlo simulations to estimate the probability of an asset (e.g., Ethereum) exceeding a given price level within a specified timeframe. By comparing our probability esti…

    Jupyter Notebook 2