Felipe De Castro
Data Analyst
Rio Grande do Sul, Brazil
Summary
👤
Senior🎓
Top SchoolFelipe De Castro is a data analyst with a decade of technical experience who blends a Physics background and an ongoing Master's in Astrophysics with practical data science and engineering skills. He has applied Bayesian statistics, large-scale data analysis, and Python-driven modeling in academic research and now brings that rigor to industry at Lojas Quero-Quero. Felipe’s toolkit centers on Python (pandas, NumPy, scikit-learn), signal processing and control concepts, and a research-driven approach to problem solving that emphasizes statistical rigor and reproducibility. He’s actively expanding his portfolio and formalizing his training with a Data Science and Engineering specialization, demonstrating a deliberate transition from academic research to production-focused analytics. Based in Rio Grande do Sul, Brazil, Felipe combines instrumentation and calibration experience with machine learning interests—an unusual mix that helps him bridge low-level data acquisition and high-level modeling.
10 years of coding experience
2 years of employment as a software developer
Lato Sensu Postgraduate Studies - Specialization, Data Science and Engineering, Lato Sensu Postgraduate Studies - Specialization, Data Science and Engineering at Universidade do Vale do Rio dos SinosMaster's degree, Astrophysics, Master's degree, Astrophysics at Federal University of Rio Grande do SulBachelor's Degree, Physics, Bachelor's Degree, Physics at University of Vale do Rio dos Sinos
English, SpanishGithub contributions (5)
felipecastrotc/two-phase
Feb 2020 - Jun 2021
Contributions:28 commits, 5 pushes, 7 branches in 1 year 5 months
felipecastrotc/felipecastrotc
Feb 2022 - Aug 2024
Contributions:1 push, 1 branch in 2 years 6 months
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