Dylan Pieper

Data Scientist

Welcome! I’m a data scientist working across the health sciences, education, and government. I love collaborating with teams to create meaningful data tools that look beautiful and are easy to use. I work on the full-stack—from developing visualizations, reports, and dashboards to engineering the models and pipelines that feed into them.

I currently lead data strategy at a university focused on innovations in medical education. I’ve built centralized data platforms, developed AI-driven analytics, and optimized workflows using R, Python, SQL, Azure, and Microsoft Power.

I translate complex, often messy datasets—from API endpoints, surveys, or electronic health records—into actionable insights, bridging engineering and business needs across scalable databases, interactive web apps, natural language processing, and machine learning.

Whether designing cloud-based architectures, automating workflows, or mentoring teams, I thrive in dynamic, cross-functional environments. My work has reached researchers worldwide through open-source packages, talks, and publications. Outside of work, I have a deep appreciation for nature and spirituality. From paragliding to yoga, I find energy and balance through exploring outer and inner landscapes.

Let’s connect and explore your data in ways you never thought were possible.