Episode 63 | April 1, 2026

Unlocking Data Potential: Insights from The Purdue Data Mine

What happens when students from every major (business, agriculture, engineering, you name it) spend a year solving real data problems for real companies? Mark Daniel Ward and Katie Sanders built a program around that question. Here’s what they’ve learned.

behind the product episode 63

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In This Episode of Behind the Product

In this episode, host Zac Darnell and co-host Raman Ohri sit down with The Purdue Data Mine’s, Executive Director, Mark Daniel Ward and COO, Katie Sanders. Mark and Katie walk us through how they’ve built a program where students from every major, not just data science, tackle real data problems for industry partners, and why that intentional cross-disciplinary design is exactly the point.

We dig into what it means to build a data-ready workforce at scale, how the explosion of AI has reshaped project demand (53 of 92 active projects now involve AI), and what companies actually get out of partnering with The Data Mine. From getting backlogged projects off the shelf to building a recruiting pipeline with early-career talent that’s already been road-tested on their real problems, along with what they’re seeing from their industry partners.

Takeaways

  • The Data Mine’s model is built on real-world work, not simulated problems; students are solving the same issues that industry partners face today.
  • Cross-disciplinary teams produce stronger outcomes because different majors bring different lenses to the same data problem.
  • Companies engage The Data Mine for two distinct reasons: recruiting pipeline and getting internal projects done.
  • AI has rapidly reshaped project scope, over half of active engagements now include an AI component, up significantly from just a few years ago.
  • Students are early enough in their careers that they aren’t locked into habits, making them unusually open to adopting new tools and approaches.
  • The program is a low-friction entry point to a deeper university research relationship, some engagements evolve into sponsored research agreements.

Timestamps

  • 00:04 – Introduction to Data Utilization
  • 00:59 – Introduction to Data Mine and Its Impact
  • 11:12 – The Impact of AI on Data Science Projects
  • 23:31 – Bridging the Gap: Student Internships and Corporate Partnerships
  • 29:14– The Role of AI in Future Business Models
  • 36:01– Expanding the Data Mine: Future Developments and Opportunities

Episode Guests

Mark Daniel Ward

Mark Daniel Ward

Executive Director at The Purdue Data Mine

Mark Daniel Ward is Executive Director of Purdue's Data Mine, which he launched in 2018 to make data science accessible to all. A Professor of Statistics and ASA Fellow, he's since expanded the model to institutions nationwide.

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Katherine Sanders

Katherine Sanders

COO at The Purdue Data Mine

Katie Sanders is Chief Operating Officer at Purdue's Data Mine, a living-learning community where students from any major tackle real data science challenges with corporate partners. She's driven by community, mentorship, and building future leaders.

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Episode Co-Host

Raman Ohri

Raman Ohri

President & CEO

Raman, President and CEO, has been leading our software product design and development company since becoming President in 2015.

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Show Host

Zac Darnell

Zac Darnell

Host of Behind The Product & Manager at SEP

With his diverse background and expertise, Zac brings a unique perspective to discussions around innovation, leadership, and the ever-evolving tech landscape. His ability to bridge technical and business domains makes him a valuable voice in the industry.

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