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About Me

I am an AI and Data Science student pursuing an MSc in Data Science and Engineering at FEUP. With a foundation in Industrial Engineering and Management, I am passionate about leveraging data-driven solutions and AI technologies to address complex problems. My focus lies in studying and developing advanced agent-based solutions as a stepping stone toward Artificial Superintelligence (ASI). I am deeply committed to staying at the forefront of AI advancements, continuously learning from leading industries, markets, top researchers, and the latest academic papers from renowned institutions such as Stanford, MIT, Google, META, OpenAI, Anthropic, and others.

🔭 Current Focus

  • AI Advancements: Learning cutting-edge AI from top industries, researchers, and papers, via institutions like Stanford, MIT, META, OpenAI, Google etc.
  • AI Applications & Implementation
  • Intelligent Systems Development
  • Data Science & Analytics
  • Machine Learning Algorithms
  • Statistical Analysis
  • Data Visualization and Analytics Dashboards
  • Process Optimization and Project Management

Popular repositories Loading

  1. joao-viterbo-vieira joao-viterbo-vieira Public

    Config files for my GitHub profile.

  2. OpenHands OpenHands Public

    Forked from All-Hands-AI/OpenHands

    🙌 OpenHands: Code Less, Make More

    Python

  3. FireTrack-Comprehensive-Fire-Data-System FireTrack-Comprehensive-Fire-Data-System Public

    Python and SQL project using PostgreSQL, created for the Fundamentals of Data Science course (1st semester, 1st year) in the Master’s in Data Science and Engineering.

    Python

  4. Statistical-Analysis-of-Wildfires-in-Portugal Statistical-Analysis-of-Wildfires-in-Portugal Public

    This study employs statistical methods, including hypothesis testing, to analyze wildfire patterns, trends, and factors influencing wildfire occurrences in Portugal. (1ºS 1ºYear MSc Data Science an…

    Jupyter Notebook

  5. Website-about-surf Website-about-surf Public

    Source code for a surfing website that provides information on surfing concepts, destinations, gear, and safety, using HTML, CSS, and JavaScript for responsive design.

    CSS

  6. Enhanced-Naive-Bayes-Classifiers-with-Discretization-and-KDE Enhanced-Naive-Bayes-Classifiers-with-Discretization-and-KDE Public

    This project enhances Naive Bayes classifiers by applying discretization techniques and Kernel Density Estimation (KDE) to improve accuracy and robustness. Conducted for the Machine Learning and Da…

    Jupyter Notebook