Summary
Adilson Khouri is a data scientist with a decade of experience building ML-driven systems for finance and payments, currently leading data science efforts at Tiendanube in São Paulo. He has delivered high-impact projects—Quality Leads, Active Merchants, Fraud Rules, and KYC—that cut marketing spend by ~40%, reduced fraud losses, and automated model retraining and monitoring. His background blends strong academic training (master’s and ongoing PhD work in machine learning at USP) with hands-on production engineering: ETL, feature pipelines, XGBoost models, rule engines and Tableau dashboards. He has repeatedly turned business problems into data solutions and mentored expanding teams (40+), bridging stakeholders and technical delivery. Notably, he combines heuristic rule systems with statistical models to prevent fraud before first transactions, integrating external identity data to improve detection. Pragmatic and research-minded, he thrives on measurable ROI from ML in high-risk, real-time payment environments.
10 years of coding experience
8 years of employment as a software developer
PhD candidate, Machine Learning, PhD candidate, Machine Learning at USP - Universidade de São Paulo
Técnico, Edificações, Técnico, Edificações at ETEC Getulio Vargas
English, Spanish