Emanuel Zapata Querubín

Data Engineer @ Lovelytics

About

Emanuel is a Data Engineer at Lovelytics specializing in MLOps and data platform architecture. He has hands-on experience taking ML projects from exploratory notebooks to fully automated production pipelines on Databricks, and is passionate about bridging the gap between data science and engineering.

Workshop

Machine LearningDevOps

From Notebook to Production: End-to-End MLOps on Databricks

FORMAT: WorkshopLEVEL: IntermediateLANGUAGE: Spanish

Move beyond Jupyter notebooks and deploy machine learning models to production using MLOps best practices on Databricks. In this intermediate workshop, you'll learn to structure ML projects for production, implement CI/CD pipelines for models, manage experiments with MLflow, deploy models as REST APIs, and monitor them in production. We'll walk through a complete end-to-end example from data preparation to automated retraining.

Emanuel Zapata Querubín

Data Engineer @ Lovelytics

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