Guides for data, AI and analytics careers
How to write a resume that shows what you actually did, and how to talk about it in an interview. Written from years of hiring for data roles.
How to answer “Walk me through a pipeline you built”
The most common data engineering interview question. What interviewers listen for, a five-part structure, a worked example and the follow-ups to expect.
29 Oct 2026
Resume writing
How to put a real number on your data work
Round figures read as guesses. Six kinds of number you can defend, where each one lives, and what to write when you cannot find the exact figure.
How to show ownership, not just contribution
Ownership is not a verb. It is a decision and what came after it. Four signs to write down, a rewrite recipe and the follow-up questions to expect.
Interview prep
How to answer “Tell me about a model in production”
For data scientists and ML engineers: lead with the decision the model changed, not the algorithm. A structure, a worked example and the mistakes that sink it.
How to answer “Tell me about a production incident”
What interviewers listen for, a five-part structure you can reuse, a worked example and the mistakes that sink a good story.
Looking for advice for your role? See where each data role's resume loses out, or compare graph with other resume tools.
Make your work impossible to overlook.
Start with your resume. graph shows you what it understood and what is missing.