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Marco210210/README.md

Hi 👋, I'm Marco Di Maio

🎓 MSc in Computer Science (Data Science & Machine Learning) & BSc in Computer Engineering

📍 Based in Nocera Inferiore, Italy
💡 Passionate about Data Science, MLOps, and AI-driven automation
🧠 Strong analytical mindset with experience in international research (JADS, Netherlands)
⚙️ Focused on building reproducible, efficient, and ethical AI solutions
🧭 Motto: Stay hungry. Stay foolish

🔭 Currently focused on

  • Deploying MLOps pipelines and exploring Physics-Informed Machine Learning
  • Transitioning research projects into production-ready AI tools
  • Contributing to open-source initiatives in the Data Science ecosystem

👯 I’m looking to collaborate on

  • Professional projects in AI, Data Science, and MLOps
  • Research-oriented initiatives involving Fairness in AI and LLMs
  • Innovation in IoT and Smart Home automation

🤝 I’m looking for help with

  • Deepening knowledge in Cloud Infrastructure for AI (advanced AWS/GCP)
  • Large-scale deployment of Reinforcement Learning agents

🌱 I’m currently learning

  • Model Monitoring & Observability in production environments
  • Advanced LLM Evaluation frameworks and RAG architectures
  • Emerging trends in Green IT and energy-efficient computing

📫 How to reach me

📧 marcodimaio2102@gmail.com
🔗 LinkedIn Profile
📄 Check my latest Research Paper (IEEE)

👨‍💻 Key Projects & Research

👨‍💻 All of my projects are available at

🔗 github.com/Marco210210

🧰 Tech Stack

🖥️ Programming Languages

javascript php python

🎨 Frontend Development

bootstrap html5 css3

📱 Mobile App Development

android flutter dart

🧠 AI/ML

tensorflow pytorch pandas opencv r

🗃️ Database

mongodb mysql postgresql

⚙️ DevOps

aws docker

🛠️ Software Tools

figma excel canva

🕹️ Game Engines

unity

🤖 Automation

ifttt

🧩 Other Tools

arduino git linux

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  1. City-Statistics-OECD-FUA-Analysis City-Statistics-OECD-FUA-Analysis Public

    Advanced R project analyzing economic, demographic, and environmental indicators across OECD Functional Urban Areas (FUA).

    R 1

  2. Applied-Statistics-Project Applied-Statistics-Project Public

    Statistical modeling and data analysis project using social, economic, and environmental datasets.

    R 1

  3. SportTech-Database-Project SportTech-Database-Project Public

    Relational database project for managing sports competitions and teams, designed with conceptual and logical modeling, SQL queries, views, and triggers.

    PLpgSQL 1

  4. EA-Sports-FC24-Player-Rating-Prediction EA-Sports-FC24-Player-Rating-Prediction Public

    Machine learning project for predicting the future player ratings in FIFA 24 based on historical performance data. The project utilizes models like Random Forest, Gradient Boosting, and Voting Regr…

    Jupyter Notebook

  5. Football-Analytics Football-Analytics Public

    Football Analytics is a project that collects, analyzes, and visualizes performance data for football teams and players during the Serie A 2017/18 season, using database structures and machine lear…

    Python 1

  6. SuperMario-RL-DDQN-PPO-YOLOv5 SuperMario-RL-DDQN-PPO-YOLOv5 Public

    An advanced Reinforcement Learning project where Super Mario is trained to complete a level using DDQN, PPO, and YOLOv5 for object detection and decision-making

    Jupyter Notebook 1