Working as a Data Science consultant over the years, I had the privilege of collaborating with numerous and diverse software engineering teams, each following its own software development practices.
Every time I joined a new team I had to adjust to those practices; this meant I had to do Data Science in a way that would adhere to general software development principles while aligning with team values and planning conventions. It wasn’t always easy to do so.
In this talk, I attempt to provide a guide on how to practice Data Science as part of an Agile team:
You can view Christos’ slides below:
You can view Christos’ presentation below: