Summary
Javier Daza is a Senior Data Scientist based in Medellín with six years of experience building and deploying production ML systems, primarily focused on antifraud solutions at Mercado Libre and iFood. He specializes in end-to-end model lifecycles—feature engineering, transfer learning, computer vision for document verification, NLP for anomaly detection, real-time APIs, and monitoring to combat drift. Javier blends an industrial engineering foundation and advanced data science training (including honors from Correlation One) to design robust, low-latency pipelines and automated workflows using tools like n8n and RPA. Known for applying ensemble methods and GenAI to accelerate experimentation, he brings practical production rigor alongside a research-minded approach.
6 years of coding experience
4 years of employment as a software developer
Ingenieria Industrial, Ingenieria Industrial at Universidad de Santander
Master's degree Data science, Master's degree Data science at Universidad EAFIT
Melbourne Australia, Melbourne Australia at Greenwich College
Data Science for All (Graduated with honores), Data Science for All (Graduated with honores) at Training and Competitions by Correlation One
Maestría en Ingeniería Industrial, Maestría en Ingeniería Industrial at Universidad Industrial de Santander