Summary
Eduardo De Morais is a Data Scientist with a PhD in Physics and nine years of experience building production-grade AI products across fintech and analytics in Brazil. He has designed scalable multi-agent web-scraping systems, Text-to-SQL and chatbot solutions, and Big Data models with Spark MLlib applied to tens of millions of records. Comfortable across the ML lifecycle, he blends MLOps best practices with hands-on engineering to maintain reliable pipelines and model deployments. His background in physics and formal training in deep learning and AI gives him a strong modeling intuition, enabling him to translate complex data into actionable business insights. Based in Minas Gerais, he has a track record of shipping customer-impacting features—from unsupervised customer clustering to stress-quantification models—that bridge research rigor and product needs.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Universidade Estadual Paulista Júlio de Mesquita Filho
Deep Learning Specialization, Deep Learning, Deep Learning Specialization, Deep Learning at Coursera
Postgraduate degree, Artificial Intelligence and Machine Learning, Postgraduate degree, Artificial Intelligence and Machine Learning at PUC Minas
Master's degree, Physics, Master's degree, Physics at Universidade Federal de Alfenas
English, Portuguese