Rami Krispin is a senior data science and engineering manager. 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.