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  • Unimore
  • Modena, Italy
  • 09:07 (UTC +02:00)
  • Instagram marche.am

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marchesinia187179/README.md

Hi, I'm Alessandro Marchesini 👋

Computer Engineering student passionate about Machine Learning, Cybersecurity, and Embedded Systems. I build solutions that turn complex data into real-world security.

🚀 Technical Focus

  • Engineering: Clean code & software lifecycle.
  • Data Science: Intelligent systems & predictive modeling.
  • Security: Network protocols & system resilience.
  • Integration: Hardware-software interaction & embedded systems.
  • Finance: Quantitative analysis & automated data tracking.

🎓 Featured Project: "Earth-to-Satellite" Security

My current thesis uses ML to detect anomalies in satellite networks by leveraging terrestrial datasets (NB15/STIN). My goal is to bridge the gap between ground-based security and space connectivity.

🛠 Tech Stack

  • Languages: Python (ML/Scripting), C++ (Embedded)
  • ML Tools: Scikit-learn, Pandas, NumPy, Matplotlib
  • Systems: Linux (Xubuntu/XFCE), Networking, Firewalling
  • Tools: Git, VS Code, Google Suite

📩 Let's Connect

  • Status: Open to internships and research collaborations.
  • Upcoming: Starting Master’s in Computer Engineering (2026/27).
  • Goal: Contributing to high-impact projects in space, security, or fintech.

Turning complex data into actionable security.

Pinned Loading

  1. computer-networks computer-networks Public

    Some exercises to learn how computer networks work by using Marionnet software.

    C

  2. artificial-intelligence artificial-intelligence Public

    Some exercises to learn how artificial intelligence works.

    Jupyter Notebook

  3. earth-trained-satellite-ids earth-trained-satellite-ids Public

    Feasibility study of a Hybrid Intrusion Detection System (Random Forest & Isolation Forest) for satellite networks using only terrestrial training data.

    Python