Rami Krispin
Rami Krispin is a senior data science and engineering manager, Docker Captain, and LinkedIn Learning instructor. He mainly focuses on time series analysis, forecasting, and MLOps applications.
He is passionate about open source, working with data, machine learning, and putting stuff into production. He creates content about MLOps and recently released a course - Data Pipeline Automation with GitHub Actions Using R and Python, on LinkedIn Learning, and multiple tutorials about Docker for data science.
He is the author of Hands-On Time Series Analysis with R and is currently working on my next book, Applied Time Series Analysis and Forecasting, which focuses on forecasting at scale with Python.
Sessions
This workshop focuses on the foundation of MLOps, demonstrating the deployment of data and an ML pipeline with a real-life example.