Ollie Glass


Managing data science projects

Here's a framework I use to manage data science projects. I divide them into four stages: discovery, research, production and ongoing operation. I’ll give examples of the outcomes and timelines of each stage on a small three-month project. Read more...

Understanding and managing uncertainty in data science projects

Most data science projects require researching approaches and techniques, collecting and processing data, and testing different model architectures and parameters. It can’t be known in advance how long this research will take or the results it will bring. How can you manage this uncertainty when you’re leading a project? Read more..