Summary
Bruno Geronymo is a statistician with 10 years of experience applying data science and statistical modeling to drive business decisions across finance and real estate. Currently at Fepasc, he translates complex datasets into actionable insights for strategic planning, building on prior roles at Grupo AZ where he monitored market indicators and evaluated economic impacts on property markets. His background at Bradesco includes developing and monitoring credit recovery models (including a GAMLSS-based project with departmental visibility), demonstrating a blend of rigorous modeling and operational implementation. A UFPR-trained statistician and former researcher who contributed to an R teaching-data package, he pairs academic depth with practical reporting and stakeholder communication skills. Known for aligning statistical analyses to business needs, he focuses on reproducible, standards-compliant work that anticipates market trends.
10 years of coding experience
Bacharelado, Statistics, Bacharelado, Statistics at Universidade Federal do Paraná
English