I am a mathematician with a strong focus on Data Analysis and Data Science. I have experience working with big data, deriving insights, and applying analytical methods to solve complex problems. My objective is to contribute to innovative and challenging projects where I can leverage my expertise while continuing to grow professionally.

📅 May 2025 - Present

• Conducting a thesis on air quality modeling, aiming to reduce the bias of numerical models using Machine Learning techniques.
• Performing end-to-end data analysis, including collection, cleaning, and exploratory analysis of raw datasets.
• Applying XGBoost to adjust and improve the predictions of existing numerical models.
• Interpreting model outputs.

📅 2024

• Developed scripts in Python.
• Wrote and optimized SQL queries to extract, transform, and analyze large datasets.
• Assisted in building dashboards.
• Worked with cloud platforms (GCP) and version control tools (GitHub).

📅 2023

• Assisted in the course Numerical Solution of Ordinary Differential Equations, implementing various numerical algorithms in Python.
• Prepared and delivered technical explanations of the implemented code, helping students understand theoretical concepts through practical examples.
• Supported learning by clarifying complex topics and demonstrating applications of numerical methods.

📅 2022 - 2023

• Analyzed and reviewed source code and documentation of the Julia libraries TaylorModels.jl and IntervalArithmetic.jl.
• Proposed and implemented improvements to library functionality and documentation to enhance usability.
• Contributed to making advanced numerical tools more accessible for research and practical applications.

📅 2024
Data Science Diploma

📅 2022
Bachelor’s degree in Mathematics

🏆 GCP - Google Cloud Professional Data Engineer Certification - Udemy