Summary
Diego Garrido is a Senior Data Scientist with 8 years of experience building production-ready forecasting and optimization systems across retail and e-commerce. He combines a strong academic background in operations research and industrial engineering with hands-on expertise in Python, Spark, BigQuery, and cloud platforms (GCP and Azure) to design scalable data pipelines and model serving on Kubernetes. At Mercado Libre and Cencosud he delivered time-series systems that handle tens of millions of series, stochastic aggregation services, and pricing/checkout optimization solutions that integrate forecasting, elasticity modeling and constrained solvers. He’s comfortable moving models from research to production—instrumenting MLflow, APIs and monitoring—and has migrated terabyte-scale pipelines between clouds for 30x speedups. Known for bridging advanced Bayesian and frequentist techniques with practical ML engineering, he also teaches and mentors, reflecting a strong commitment to knowledge transfer.
7 years of coding experience
6 years of employment as a software developer
Courses completed, Artificial Intelligence, Courses completed, Artificial Intelligence at Coursera
Master in Operations Research, 6.6/7, Master in Operations Research, 6.6/7 at Universidad de Chile