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pcmoraesmenezes/README.md

Hi there, I'm Paulo César Moraes de Menezes 👋

I'm a passionate Data Scientist, Software Engineer, and Computer Science student from Alfenas, Brazil. I specialize in turning large-scale data into actionable insights through machine learning, deep learning, and scalable data infrastructures. With hands-on experience in climate risk research, backend API development, and automation of ETL processes, I strive to create data-driven solutions that support smarter business decisions and foster sustainability.


🚀 About Me

  • 🔭 Currently:

    • Climate Risk Researcher at IRB – designing and maintaining large-scale climate data infrastructures and developing advanced ML/DL methodologies for climate risk assessment.
    • Software Engineering Intern at Meerkat Coding – building robust APIs with Python (Flask, FastAPI), managing AWS environments, and automating workflows for high-availability applications.
    • Data Science Technician at Zetta – executing exploratory data analysis, data cleaning, and building predictive & deep learning models to support strategic decisions.
  • 🎓 Education:
    Bachelor's in Computer Science at Federal University of Alfenas (Unifal) – continuously expanding my skills in data science, artificial intelligence, and software engineering.

  • 📚 Passions:
    I love unraveling the complexities behind large datasets, designing innovative research methodologies, and implementing end-to-end solutions that optimize performance and sustainability. My work is driven by the belief that data, when properly harnessed, can lead to transformative change in industries and communities alike.


🛠️ Tech Stack

Data Science & Machine Learning

Python Pandas NumPy Scikit-Learn TensorFlow PyTorch

Backend & API Development

Flask FastAPI JavaScript

Databases & Cloud

PostgreSQL MySQL AWS

Automation & Integration

Zapier n8n

Tools & Platforms

Git GitHub VS Code Jupyter Notebook


📈 My Work & Contributions

  • Climate Risk & Sustainability:
    Designing data infrastructures and developing machine learning models to assess and mitigate climate risks.

  • API & Cloud Solutions:
    Building and deploying robust APIs with Flask and FastAPI while managing AWS cloud environments to ensure scalability and performance.

  • Data-Driven Decision Making:
    Automating ETL pipelines and performing in-depth exploratory data analysis to derive insights that drive strategic decisions.

  • Research & Innovation:
    Published research on sustainable energy generation from chemical waste treatment – a project that integrated fuzzy logic, AI, and real-time data analytics to optimize industrial energy consumption.


📫 Let's Connect


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    Anotações a respeito do livro 'Clean Code'

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  2. Banco-de-Dados Banco-de-Dados Public

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    Python 1

  3. Inteligencia-Artificial Inteligencia-Artificial Public

    Repositorio dedicado para todo aprendizado relativo a Inteligência Artificial

    Jupyter Notebook 1