Cayan Portela
Data Scientist II, Tech
Brasília, Federal District, Brazil
Summary
👤
Senior🎓
Top SchoolCayan Portela is a data scientist with eight years of experience blending academic rigor and product impact across streaming, fintech, and public research. He led a Next Best Offer model at Globo that influenced 15M users and drove a 15% upsell improvement, and has built causal inference and churn solutions for iFood and Banco do Brasil. A PhD candidate in Quantitative Methods & Finance with a Master’s in Statistics, he publishes on deep learning, feature selection, and finance and teaches data science at university level. Comfortable moving models from experimentation to production, he combines probabilistic thinking, Python/R fluency, and quasi-experimental design to solve business problems. Colleagues note he bridges growth analytics and rigorous causal methods—a rare mix that accelerates both retention and acquisition strategies.
8 years of coding experience
8 years of employment as a software developer
University of São PauloPh.D., Quantitative Methods & Finance, Ph.D., Quantitative Methods & Finance at Universidade de Brasília
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
jekyll3
static-blog2
nodejs2
javascript1
Programming languages (2)
Github contributions (5)
lamfo-unb/AutomationJobs
Mar 2018 - Mar 2019
Contributions:34 commits, 5 PRs, 30 pushes in 11 months
Cayan-Portela/ceub
Aug 2023 - Oct 2024
Contributions:45 pushes, 1 branch in 1 year 1 month
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