Building an End-to-End Data Science Portfolio Project

The projects that actually get people hired do something different. They start with a business problem and finish with a recommendation, and they show every stage in between. Showing every stage, from raw data to a deployed application, is the thing a resume cannot prove and a notebook cannot fake. To keep it concrete, we'll use one real project the whole way through: the DoorDash Delivery Duration Prediction data project. It's a free project, so you can follow along and build this yourself. We'll work through it inside StrataScratch's built-in notebook environment, an integrated Marimo notebook you can open by clicking "Start Solving" on the project page, so there's nothing to install before you start. So here's what we'll do. We'll take that one project and run it through the nine stages of a real data science project: framing the business problem, pulling the data with SQL,…