About
Maycol Moreno
Data Scientist at AB InBev. Systems and Computing Engineer from Universidad del Norte (4.6/5.0 GPA). Building predictive models and optimization systems that support marketing investment decisions, promotional strategy, and business intelligence across Colombia, the United States, and India.
What I Do
I work at the intersection of machine learning and business strategy. My focus is on building systems that translate complex data into actionable decisions — from marketing mix modeling and investment optimization to demand estimation and promotional pricing. Every model I build is evaluated not only on statistical performance but on whether it changes how the business allocates resources.
Background
Trained as a Systems and Computing Engineer with a strong foundation in algorithms, statistics, and distributed systems. Worked as an AI Engineer at Outlier (2024), evaluating and refining AI-generated code and model behavior — contributing to a 30% reduction in critical errors. Started at Bavaria (AB InBev) as a Data Scientist Intern before transitioning to a full-time Data Scientist role at AB InBev, working on enterprise-scale marketing science and ML infrastructure across Azure and Databricks. Certified in Azure (AZ-900, DP-900) and Google Cloud Machine Learning.