Rafael Lins
Especialista Em Pesquisa Primária at CNI - Confederação Nacional da Indústria
Brasília, Federal District, Brazil
Summary
👤
Senior🎓
Top SchoolRafael Lins is a data scientist and statistician with eight years of experience turning large, complex datasets into strategic insights for public and private organizations. Holding a bachelor’s and master’s in Statistics from UnB and pursuing an MBA in Agile Management, he blends rigorous quantitative methods with practical product- and team-focused delivery. At BRB Seguros and institutions like Ipea and ECLAC he led advanced analytics projects, designed data architectures, and deployed machine learning models to drive commercial and policy decisions. He also has hands-on experience with R, Python, SQL, Spark/Hadoop and business tooling (Power BI, Power Automate), and has built R/Shiny apps that earned internal innovation awards early in his career. Comfortable both as a technical lead and a methodological researcher, he seeks collaborative opportunities that scale data-driven decision making across organizations.
8 years of coding experience
Master of Business Administration - MBA Gestão de Projetos e Metodologias Ágeis, Master of Business Administration - MBA Gestão de Projetos e Metodologias Ágeis at Pontifícia Universidade Católica do Rio Grande do SulMestrado em Estatística, Mestrado em Estatística at Universidade de Brasília
Github Skills (7)
sports-data9
risk-assessment8
tax7
validation6
python5
data-validation5
analytics4
Programming languages (1)
Github contributions (5)
rafaelslins/Rclust
Jul 2019 - Apr 2020
Parallel Partitional Clustering Algorithms based on P-Values for High Dimensional Low Sample Size Data
Contributions:8 PRs, 41 pushes, 5 branches in 9 months
k-meanssample-sizeparallelp-valueskd-tree
rafaelslins/benford.analysis
Aug 2019 - Aug 2019
Tools that make it easier to use Benford’s law for data validation and forensic analytics.
Contributions:6 PRs, 25 pushes, 6 branches in 8 days
forensicanalyticspythonlawvalidation
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