Andrey Campos

Sou formado em Física pela UFRGS, com experiência de 4 anos em análise de dados astronômicos, em projetos que aprendi a programar em Python usando Scikit-learn, Pandas e NumPy. Possue publicação de artigo em revista de alta qualidade no Brasil, trabalho que mostrou a validade e aplicação de leis físicas em um dataset com mais de 5000 objetos. Atualmente, finalizo uma especialização em Ciência de Dados pela UTFPR, onde foquei meus estudos e projetos em SQL, Machine Learning e Deep Learning.

Volunteer Data Scientist at Fundo Amanhã (2026-04 – Present)

• Strategic and Solutions Analysis: Developing data-driven insights from UFRGS student datasets to optimize scholarship allocation and educational impact.
• Data Storytelling: Communicating complex statistical findings to non-technical stakeholders to support decision-making and relationship building.
• Academic Integration: Applying advanced statistical methods and Machine Learning techniques from my postgraduate studies to complex and social datasets

Private Tutor (2025-03 – Present)

• Communication: Explanation of complex concepts in Astronomy, Physics and Mathematics for children and adults, tailored to individual learning needs.
• Pedagogy: Development of personalized teaching methodologies, using tools such as Canva and Gamma for dynamic presentations. Classes guided by historical and news examples, refined by scientific literature translated to the student.
• Content Creation & Organization: Drafting, structuring, and documenting educational materials and lesson plans, ensuring organized and effective workflow.
• Self-Taught Profile: Continuous updating on educational tools and industry news to facilitate the understanding of scientific concepts.

Bachelor's Thesis at UFRGS (2024-03 – 2025-01)

• Data Pipeline & Analysis: Engineered a complete data pipeline using Pandas and NumPy to clean and manipulate high-dimensional exoplanetary datasets. Applied Linear Regression and model validation techniques to identify correlations.
• Executive Visualization: Developed complex visual narratives using Matplotlib and Seaborn to communicate findings.
• Publication & Open Source: Research findings were published in the Brazilian Journal of Physics Teaching (Qualis A1). Documented and deployed the codebase on GitHub.

Graduate Researcher at UFRGS (2020-01 – 2023-12)

• Worked with different stellar evolution models understanding the impact on different parameter values in the stellar's characteristics.
• Adjusted observational pulsational periods data to asteroseismological models to constrain stellar characteristics.
• Presented the results in the XXXV Salão de Iniciação Científica

Postgraduate Specialization in Data Science – Federal University of Technology – Paraná (UTFPR) (2025-03)

B.Sc. in Physics/Astrophysics – Federal University of Rio Grande do Sul (UFRGS) (2018-03 – 2025-01)