Short Biography

Michael Shtelma is a Databricks Solutions Architect and ex-Teradata Data Engineer passionate about all data-related topics, especially data engineering and data science in cloud. He loves to code in Scala and Python. Currently, Michael is working at Databricks in Frankfurt, Germany.

“During the workshop, we will showcase how to manage an end-to-end ML lifecycle with MLflow. We will demonstrate the three components of the framework—experiment tracking, project packaging, and model deployment—via concrete use cases.”

Speaker for the following session:

Managing end-to-end Machine Learning Lifecycle with MLflow