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grmirand4/README.md

👋 Hey! I'm Gabriel Miranda. Welcome to my GitHub profile!

Who am I?

🔭 Master's researcher in Physics, specializing in Observational Cosmology with a focus on Machine Learning.
🎓 B.Sc. and Lic. in Physics.
💻 4+ years of experience in Python for scientific software development, data acquisition, processing, and analysis.
🌟 Interested in Data Science, Astronomy and Education.
🧠 My hobbies include: photography, numismatics, languages, culture in general, and stargazing.

📚 Education

  • UFBA - Federal University of Bahia
    M.Sc. in Physics | Aug 2024 - Present

    • Specializing in Observational Cosmology and astronomical data analysis using AI.

    B.Sc. and Lic. in Physics | May 2017 - Jul 2023

    • Developed a project on Spectroscopy that competed for the UFBA Undergraduate Research Award 2021.
  • Ada Tech
    Data Science Bootcamp | Jul 2023 - Nov 2023

    • Trained and developed hard skills in Python, Git, SQL, Statistics, and Machine Learning.
  • IFTM - Federal Institute of Triângulo Mineiro
    Technical Degree in Informatics | Feb 2012 - Dec 2014

    • Awarded 1st place in the Ituiutaba Science and Technology Fair for an Arduino-based home automation system.

👨‍💻 Experience

  • UFBA - Federal University of Bahia | Master's Researcher | Aug 2024 - Present

    • Active member of the J-PAS collaboration, contributing to the Data Validation team.
    • Currently developing Machine Learning tools for star-galaxy classification.
  • UFBA's Planetarium and Observatory | Planetarist | May 2024 - Present

    • Conducted educational presentations on Astronomy, engaging hundreds of attendees in each session.
    • Led public observational sessions using telescopes, fostering hands-on learning and interest in astronomical phenomena.
  • Brazilian Physical Society | Tutor (OBFEP) | Jul 2017 - Present

    • Expanded OBFEP's reach through social media and website management.
    • Led recruitment efforts and taught classes, preparing students for the Physics Olympiad.
  • Observatório Nacional (Brazil) | Undergraduate Researcher | Sep 2022 - Aug 2023

    • Worked on outlier detection and exploratory analysis for astronomical data.
    • Developed a Python pipeline for Active Asteroids identification.
  • UFBA - Federal University of Bahia | Undergraduate Researcher | Sep 2020 - Aug 2022

    • Created a Python interface for an Arduino-based optical spectrometer.
    • Collaborated on a Planetary Sciences project.
  • Leão XIII Social Center | Administrative Secretary | Feb 2015 - Jan 2016

    • Maintained the student and staff management system.
    • Created controlling reports optimizing third-party services.

⚒️ Hard Skills: Physics Astronomy Statistics Mathematics Python SQL Machine Learning

🌐 Soft Skills: Analytical thinking Critical thinking Adaptability Storytelling Communication

📢 Languages: Portuguese (C2) English (C1) Spanish (B1) French (A1)

📄 Resume

Lattes

🔗 Contact me!



🔍 Research repositories

🚧 Check out my latest Data Science projects!

🖱️ Websites I develop/manage

Pinned Loading

  1. sc2023-analise-exploratoria-combustiveis-tributos sc2023-analise-exploratoria-combustiveis-tributos Public

    Análise exploratória de dados referentes às séries históricas de preços de combustíveis e arrecadação de tributos estaduais (2018.1 a 2023.2). Projeto final da disciplina Técnicas de Programação I …

    Jupyter Notebook 1

  2. sc2023-analise-exploratoria-logistica-rj sc2023-analise-exploratoria-logistica-rj Public

    Análise exploratória de dados referente à série temporal de postagens de uma empresa de logística do estado do Rio de Janeiro (2023-01 a 2023-09). Projeto final da disciplina Estatística I do curso…

    Jupyter Notebook

  3. sc2023-deteccao-fraude-machine-learning sc2023-deteccao-fraude-machine-learning Public

    Detecção de fraude em transações de cartões de crédito utilizando modelos classificatórios de Machine Learning (KNN, Decision Tree, Random Forest e Gradient Boosting). Projeto final da disciplina M…

    Jupyter Notebook

  4. sc2023-perfil-clientes-machine-learning sc2023-perfil-clientes-machine-learning Public

    Analisando e determinando perfis de clientes com base em dados sintéticos de uma campanha de marketing através de modelos de aprendizagem supervisionada e não-supervisionada. Projeto final da disci…

    Jupyter Notebook