I'm a Data Science Researcher focused on applying data, machine learning and artificial intelligence to solve real-world problems through interdisciplinary projects.

My background is in Biology (MSc & PhD), where I worked with complex biological data, integrating field, laboratory and molecular information. Today, I apply this experience to Data Science and Artificial Intelligence, focusing on turning data into structured knowledge and practical solutions.

I’m particularly interested in:

• Machine Learning applied to real-world problems
• Bioinformatics and scientific data
• Data analysis and modeling
• Technical project organization and reproducibility
• Technology education and knowledge sharing

• 📊 Data analysis, statistical modeling and data-driven insights
• 🤖 Machine Learning for real-world applications
• 🧬 Bioinformatics and biological data analysis
• ⚙️ Development of reproducible workflows and data pipelines
• 📚 Technical documentation and educational content

🔹 ETL Pipeline with Python Data extraction, transformation and loading pipeline developed with Python, focusing on automation, organization and reproducibility.

🔹 Artificial Intelligence & Data Science Studies
Repository with notebooks and experiments developed during my specialization.

🔹 Git Roadmap
Study repository covering Git fundamentals, branching strategies and collaborative workflows.

• Languages: Python, SQL
• Libraries: Pandas, NumPy, Scikit-learn, Matplotlib
• Tools: Git, Linux
• Cloud & Data Platforms: AWS, Azure, Apache Airflow
• Concepts: Data Analysis, Machine Learning, Data Modeling

• Researcher at LICA (Laboratório de Inteligência Computacional Aplicada)
• Working on AI and data engineering projects
• Expanding experience with AWS, Azure and Apache Airflow
• Continuing specialization in Artificial Intelligence
• Studying Computer Science