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Excited about learning more things !
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BaptisteZloch/README.md

Hi 👋, I'm Baptiste Zloch

✨ Portfolio Management | Quantitative Research | Data Science ✨

BaptisteZloch BaptisteZloch

  • 🔭 I’m currently working on Medium articles to share content about Quantitative Finance

  • 🌱 I’m currently studying Quantitative finance at Paris-Dauphine University, before I studied Computer Science and Data Science at CentraleSupelec and EPF

  • 💬 Ask me about Programming, Computer Science, Quantitative finance, Astronomy, Astrophotography or 3D printing.... (I'm always glad to learn new things)

  • 📫 How to reach me bzloch@hotmail.fr

  • 📄 Know about my experiences Resume here

  • ⚡ Fun fact I started on YouTube with 2 channels ZlochTeamAstro and MakeIT ¯\_ (ツ) _/¯

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  1. Quant-Invest-Lab Quant-Invest-Lab Public

    Quant Invest Lab is a project aimed to provide a set of basic tools for quantitative experiments. By quantitative experiment I mean trying to build your own set of investments solution.

    Python 24 2

  2. Frequency-transformation-and-analysis Frequency-transformation-and-analysis Public

    Repository aimed to gather my works on analyzing and processing a signal using frequency related tools over cryptos and stocks using several approaches

    Jupyter Notebook 1

  3. Markets-sentiment-analysis Markets-sentiment-analysis Public

    Repository aimed to gather my works on analyzing the sentiment over cryptos and stocks using several approaches.

    Jupyter Notebook 1 5

  4. Astronomy-electronic-telescope-directing Astronomy-electronic-telescope-directing Public

    This repository is dedicated to my tests using C# and ASCOM devkit to create form that can interact with my real setup.

    C#

  5. MakeIT-How-to-forecast-weather-with-Arduino-Nano-33 MakeIT-How-to-forecast-weather-with-Arduino-Nano-33 Public

    This repository is dedicated to the second tutorial of my youtube channell MakeIT. This project is about tiny machine learning and how to forecast weather using Arduino Nano 33 BLE Sense.

    C 8 2