Hello! I'm Felipe Lodur, a Data Science Manager at Brex, where I leverage artificial intelligence to combat financial crimes and develop credit risk strategies. With over seven years of experience in the field, I've had the opportunity to work across various organizations, ranging from traditional banks to innovative startups.
My passion for AI and Finance drives me to continuously learn and share my insights. I focus on helping professionals advance in Data Science and Artificial Intelligence through practical applications and real-world experiences.
Machine Learning
Deep Learning
Computer Vision
Credit Risk
Fraud
AML
Python
PyTorch
Cloud
Built systems to manage FinCrime and Credit Risk. All-time low in fraud, reduced churn with better credit experience.
Fight Financial Crime with AI. Team recognized internally and externally (regulators) as international leaders on AML scene.
Created Voice Biometry solutions using Deep Learning, from scratch. Built the team and prevented over R$2.5M in fraud losses.
Led Computer Vision initiatives, created training programs, and got promoted twice.
Specialized in Machine Learning and Artificial Intelligence
Advanced studies in Data Science and Machine Learning
Graduated with honors, receiving award for 2nd Best Undergraduate Thesis
Transdisciplinary Innovation Program for 2 months - Bioengineering, AI, and Entrepreneurship
Merit Scholarship - Studied Global Problems for 1 months at PKU
Computer Science exchange program - Spent 1 semester in Poland