I am Pedro Brom, a researcher, developer, and experienced consultant specializing in technology and computer science, with a strong background in statistics and applied mathematics. Currently pursuing a PhD in Computer Science, I apply advanced analytical techniques and programming skills in R and Python to develop data-driven solutions, optimize processes, and support strategic decision-making across diverse sectors. My multidisciplinary expertise bridges statistical modeling, artificial intelligence, and business technology, enabling tailored consulting services that address complex challenges effectively.

• 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

• 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)

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

• Lattes Curriculum
• ORCID
• LinkedIn
• CodersRank