Gehazi Bispo is a Staff Researcher and behavioral data scientist with nearly a decade of experience blending experimental psychology, psychometrics and data science to solve product and marketing problems. At will bank he built and validated large-scale tracking surveys, developed product and brand metrics, and translated complex quantitative analyses into actionable insights for senior product and marketing leaders. He is skilled in SQL-driven ETL, survey design (Qualtrics), statistical modeling in R/JASP/SPSS, and dashboarding with Looker Studio, and regularly leads end-to-end research initiatives across multidisciplinary teams. Beyond applied analytics, he contributes to computational and agent‑based modeling research and maintains an independent research practice, reflecting a rare mix of hands-on product insight and academic rigor. Based in Pernambuco, Brazil, he’s currently deepening expertise in quantitative and computational models of behavior while pursuing advanced studies in data science and AI.
9 years of coding experience
3 years of employment as a software developer
Associate's degree, Systems Development, Associate's degree, Systems Development at ETEPAC - Escola Técnica Estadual Professor Antônio Carlos Gomes da Costa
Associate's degree, Automobile/Automotive Mechanics Technology/Technician, Associate's degree, Automobile/Automotive Mechanics Technology/Technician at Serviço Nacional de Aprendizagem Industrial
Postgraduate Degree, Data Science and Artificial Intelligence, Postgraduate Degree, Data Science and Artificial Intelligence at Centro Universitário Internacional UNINTER
Bachelor of Science - BS, Psychology, 8.62/10, Bachelor of Science - BS, Psychology, 8.62/10 at Universidade Federal do Vale do São Francisco - Univasf
Master of Science - MS, Experimental Psychology, 9.36/10, Master of Science - MS, Experimental Psychology, 9.36/10 at Universidade Federal do Pará
Contributions:8 PRs, 14 pushes, 7 branches in 14 days
kagglepythonpredictiondisasterdata-science
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