Summary
Paulo Souza is a Senior Data Scientist based in Brasília with eight years of experience building ML products, scalable data pipelines, and recommender systems across finance, fraud prevention, and enterprise analytics. He has led end-to-end ML work—from designing slice-based model evaluation and synthetic data tools to redesigning MLOps infrastructure—delivering measurable business impact such as $3M/month fraud savings and double-digit engagement and profit uplifts for major banks. Comfortable bridging product, engineering and DevOps, he has hands-on Spark, Tableau and production deployment experience and a background in mechatronics that informs his systems-oriented approach. A builder and early-stage founder, he combines rapid prototyping and hardware insight with production ML rigor, and continues to deepen DevOps and deep learning skills through targeted nanodegrees.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.E.) Electric and Electronic Engineering, Bachelor of Engineering (B.E.) Electric and Electronic Engineering at Fontys University of Applied Sciences
Machine Learning DevOps Engineer Nanodegree Data Science, Machine Learning DevOps Engineer Nanodegree Data Science at Udacity
Bachelor of Engineering (B.E.) Mechatronics Robotics Control and Automation, Bachelor of Engineering (B.E.) Mechatronics Robotics Control and Automation at Universidade de Brasília
Portuguese, English, Spanish