This event is organized and run by all volunteers:
Scikit-learn is a library that is used around the world. Open source sprints are typically limited to where contributors live or where major conferences are held. We are fortunate to have these scikit-learn experts in the Berlin sprint.
Adrin grew up in Iran, where he did my bachelors and masters in computer science/bioinformatics. After a while of being in the industry he moved to Vancouver, Canada for his PhD program. Next, he moved to Germany to finish his PhD dissertation at a Max Planck Institute in Saarbruecken. In 2016 Adrin moved to Berlin and he's been working as a data science consultant. He co-organizes PyData Berlin, and spends a lot of time contributing to scikit-learn, as a core developer.
Reshama Shaikh organized the inaugural WiMLDS scikit-learn sprint beginning in 2017, and has since organized several more sprints. She has iteratively improved the process with each sprint:
She created comprehensive documentation and provides guidance so that other groups are able to organize them as well: