About us

We’re three colleagues who work in Data Science. Between us, we’ve spent about 30 years building analytics and ML products, reviewing thousands of CVs, and conducting hundreds of interviews. Over and over, we saw the same thing: talented people who could do the work struggled to show it in an interview. Great projects got reduced to bullet points. Impact got buried under jargon. Nerves got in the way of stories that deserved to be heard.

DataDrivenPrep started as a shared doc between the three of us—notes from debriefs, patterns we noticed across strong candidates, the kinds of questions that actually revealed judgment, and examples of how to frame answers clearly and honestly. We used it to mentor interns, new grads, and peers switching tracks. They gave us feedback, we iterated, and the doc kept growing. Eventually, friends started passing it around. People came back saying, “I finally knew how to talk about my work.”

We decided to make it public, not as a brand exercise, but to demystify a process we knew from the inside. Our goal is simple: help people show their true potential in the moments that matter.

We remain anonymous to avoid conflicts with our current roles and to keep the focus on the craft, not our job titles. The guidance we share is the same we’d give to our own teammates: practical, respectful of your time, and grounded in what interviewers actually listen for.

If there’s a through-line to our work, it’s this: interviews should surface what you can do—not how well you memorize trivia. We’re here to help bridge that gap.