I am a Computer Science student at PUC-GO, interested in software development, data analysis, algorithm design, and artificial intelligence. My academic and research experience includes work in metaheuristics, machine learning, and statistical modeling, often applied to real-world problems.

Currently, I am a CNPq research fellow working on projects related to financial market analysis and prediction, using computational and machine-learning techniques to explore data patterns. I also contribute to climate change modeling initiatives through the Institutional Research Support Program at PUC-GO, applying AI and data science methods to environmental datasets.

I've been involved in competitive programming, which has given me practical experience with algorithms and problem-solving. As a teaching assistant in Algorithms, I've supported peers in understanding technical concepts and developing their programming skills.

Outside of academia, my background as a scout has shaped how I approach teamwork, leadership, and adaptability—qualities I bring into both technical and collaborative settings.

• Bachelor's in Computer Science
  Pontifícia Universidade Católica de Goiás (PUC-GO) (2022 – 2026)

• Financial Market Analysis and Prediction Research
  Using machine learning for market trend analysis.

• Climate Change Modeling & Environmental Data Analysis
  Applying AI methods to environmental data.

• Teaching Assistant in Algorithms
  Facilitating technical education and collaboration.

• Competitive Programming
  Advanced problem-solving under pressure.

Programming Languages:

Expertise:

I aim to apply my analytical skills and enthusiasm for technology to create innovative, efficient, and impactful solutions that drive positive societal change.