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Brunno Bittencourt has a diverse work experience in the field of data analysis and statistics. Brunno started their career in 2014 as an Estatístico at Instituto de Desenvolvimento Econômico, Social e Ambiental do Pará (IDESP), where they analyzed data from large-scale evaluations and applied regression models to identify factors associated with interest measures. Brunno also worked on database management and automation for the generation of products and reports.

In 2015, Brunno joined Cebraspe as an Estatístico, where they continued to analyze data from evaluations, selections, and certifications using Item Response Theory. Brunno also performed regression analysis and database manipulation, contributing to the automation of data processes.

While at Cebraspe, Brunno briefly worked as a Consultant at Fundação Vunesp in 2015, where they utilized their expertise in data analysis.

Brunno later returned to Cebraspe in 2018 as an Analista de Dados Sênior. In this role, they focused on analyzing data from large-scale events using Item Response Theory, applying regression models, and automating data processes.

In 2020, Brunno worked as an Estatístico at R7 Facilities Serviços de Engenharia Eireli, where they analyzed data from educational assessments using Item Response Theory. Brunno also improved and maintained the MySQL database and created routines for integrating the R software with the database.

In 2022, Brunno joined Cebraspe again, this time as a Consultor em Análise de Dados. Brunno continued to work on data analysis, regression modeling, and database automation using Item Response Theory.

As of 2022, Brunno is working as an Analista de Business Intelligence Senior at Pmweb. Brunno'sresponsibilities include analyzing and defining business rules for clients, identifying business opportunities, and creating ETL processes using R/Python and SQL-based databases. Brunno also automates dashboards using Power BI or Looker Studio.

Throughout their career, Brunno has demonstrated a strong understanding of data analysis, statistical modeling, and database management. Brunno'sexpertise in utilizing software tools like R and Python and working with SQL databases makes him a valuable asset in the field of business intelligence and data analysis.

Brunno Bittencourt's education history begins in 2010 when they enrolled at Universidade Federal do Pará. Brunno pursued a bachelor's degree in Statistics and completed their studies in 2014. After that, in 2022, Brunno attended MBA USP/Esalq, where they specialized in Data Science and Analytics, completing the program in 2023.

In addition to their formal education, Brunno Bittencourt has obtained several certifications in various fields. These include "Análise Fatorial com Dados Ordinais" from Cebraspe, "Ciência de Dados para Empresas e Negócios" from Udemy, "Construção de Indicadores via Teoria da Resposta ao Item" from Universidade Federal do Pará, "Formação Cientista de Dados com Python e R" from Udemy, "Formação Microsoft Power BI Profissional" from Udemy, "Pentaho: Estratégias para Soluções de ETL" from Udemy, "Power BI Completo" from Cebraspe, "Programação em Python do Básico ao Avançado" from Udemy, "The Theory and Application of Statistical Detection of Cheating on Tests" from ABAVE - Associação Brasileira de Avaliação Educacional, and "Técnicas Estatísticas de Análise Multivariada" from Instituto de Desenvolvimento Econômico, Social e Ambiental do Pará.

No further information is provided regarding the months or years when these certifications were obtained.