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.
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🔭 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.
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🎓 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.
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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.
- LinkedIn: Paulo César Moraes de Menezes
- Email: [email protected]
- Instagram: @pcmoraesmenezes