Summary
Raphael Crespo is a Senior Data Scientist based in Recife with seven years of experience applying computer vision, machine learning and AI to industrial and financial problems. He has led end-to-end projects from ETL and model development to production—ranging from churn modeling at an investment firm and anomaly detection over 300,000 acres of sugarcane using ResNet, to explainable predictive models for household over-indebtedness at the Central Bank of Brazil. Currently working on industrial computer vision at CESAR, he blends rigorous academic training (MSc and ongoing PhD in AI at UFPE) with hands-on deployment experience in Databricks and satellite/drone imagery. Notably, his background in civil engineering and field-focused monitoring gives him an uncommon practical perspective on spatial and time-series problems, enabling solutions that tie models to real-world operational impact.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Inteligência Artificial, Doctor of Philosophy - PhD Inteligência Artificial at Centro de Informática UFPE
BS.c Civil Engineering, BS.c Civil Engineering at Universidade Católica de Pernambuco
Técnico Edificações, Técnico Edificações at Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco