Hello, I am Pedro Brom 👋

I am Pedro Brom, a researcher, developer, and consultant specializing in Computer Science with a deep-rooted expertise in Statistics and Applied Mathematics. Currently pursuing a PhD in Computer Science, I utilize advanced analytical methods and proficiency in R and Python to build data-driven solutions and optimize strategic decision-making across diverse sectors. My multidisciplinary approach bridges statistical modeling, Artificial Intelligence, and business technology, enabling me to deliver tailored consulting services for complex challenges. By designing AI solutions that are mathematically sound, computationally efficient, and commercially viable, I focus on bridging the gap between high-level academic research and the deployment of scalable production systems that generate tangible real-world profit.

Education and Professional Development

• Bachelor’s Degree in Computer Science (in progress, 2025–) Gran Centro Universitário, Brazil

• Technologist in Commercial Management (in progress, 2025–) Federal University of Mato Grosso do Sul (UFMS), Brazil

• PhD in Computer Science (in progress, 2024–)
  University of Brasília (UnB), Brazil
  Advisor: Li Weigang

• Professional training in Embedded Systems (2024–2025)
  Federal Institute of Maranhão (IFMA), Brazil

• Master’s Degree in Statistics (2021–2023)
  University of Brasília (UnB), Brazil
  Thesis: Relationship between variance and amplitude of financial returns
  Advisor: Raul Yukihiro Matsushita
  Keywords: Truncated Lévy flights, Power laws, Financial data

• Python for Everybody Specialization (2020)
  University of Michigan (UMICH), USA

• Data Science Specialization (2016–2017)
  Johns Hopkins University (JHU), USA
  Thesis: Natural Language Prediction by Neural Networks

• Bachelor’s Degree in Statistics (2014–2020)
  University of Brasília (UnB), Brazil
  Thesis: Explanatory and classificatory modeling by systemic learning of student status at Instituto Federal de Brasília
  Advisor: Eduardo Yoshio Nakano

• Specialization in Mathematics and Statistics (2004–2005)
  Federal University of Lavras (UFLA), Brazil
  Thesis: Numerical Integration — Repeated Triangles Rule
  Advisor: Augusto Ramalho de Morais

• Degree in Mathematics (2000–2003)
  State University of Minas Gerais (UEMG), Brazil
  Thesis: The Challenge of Breaking the Dichotomy Between Humanistic and Technological Cultures
  Advisor: Luiz Elpídio de Melo Machado

Current Research and Projects

• Integrated 4D Trajectory Management Approaches with Artificial Intelligence (UnB)
• Intelligent Systems and Analytical Methods Processing Laboratory (L-PRISMA) (IFB)
• Study on the relationship between variance and amplitude of financial returns (IFB)

Skills and Technologies

• Programming: Advanced R, Intermediate Python
• Statistical Modeling, Machine Learning, Data Science

Contact and Professional Profiles

• Lattes Curriculum
• ORCID
• LinkedIn
• CodersRank