Personal Journey
I tell stories with data and light.
By day, I solve problems that don't have obvious answers. I work with organizations to uncover patterns in their data identifying patterns that inform resource allocation, building predictive models that guide strategic planning, and designing analytic frameworks that turn operational chaos into actionable intelligence. The technical work SQL, Python, statistics, and dashboards are the means; but the real work is asking better questions, connecting disparate data sources, and translating complexity into clarity for decision-makers who need answers, not just charts.
By choice, I document what deserves attention. Birds in flight, landscapes that shift with the seasons, places where history hasn't been paved over yet. I’m drawn to subjects that ask for time—a hawk waiting with intent, light revealing a canyon’s memory, the quiet dignity of places that have outlived their builders. My work is an act of noticing: movement, place, and change unfolding slowly.
These aren't separate pursuits. They are part of the same arc. Data visualization is storytelling. Photography is evidence. Both require seeing patterns others miss, then revealing why they matter. I’m drawn to interdisciplinary projects that prioritize meaning and discovery, where technical skill supports exploration rather than standing at the center.
I’m driven by curiosity and a desire to bring ideas into form. Sometimes that means digging into a dataset to figure out what’s actually happening beneath the surface. Other times it’s deriving meaning and direction from incomplete information. And sometimes it’s walking the same paths again and again, watching how the light changes and noticing what I missed the first time.
I find myself usually circling the same questions: What pattern am I not seeing yet? What happens if I slow down or wait? How can I shape this into something clearer, more honest, or more useful? The skills matter but mostly as tools—ways to follow curiosity wherever it leads and discover something real.
Professional Experience
I work at the intersection of data, systems, and decision-making. Much of my work focuses on making complex systems legible—analytical, organizational, or environmental—without oversimplifying them or stripping away their real-world consequences. I'm especially interested in problems where history, incentives, and structure matter as much as the numbers themselves.
With nearly 20 years of experience in business analytics, I've spent my career driving high-stakes decisions across healthcare, the public sector, and technology-enabled organizations. My background includes leading analytics strategy for a large, revenue-generating division within a health system, serving as a Government Innovation Fellow at the Harvard Kennedy School, and most recently supporting analytics and operations for a technology-focused B-Corp.
In practice, this means building analytical models and reporting that account for time, context, and trade-offs; designing systems that can be reasoned about by people beyond their creators; and helping teams see patterns that are otherwise hidden by abstraction or speed. I tend to work where responsibility is diffuse and clarity is missing—bridging technical detail and strategic judgment, and translating complexity into forms that support better decisions rather than false certainty.
Across analytics, strategy, and creative work, my throughline is the same: making systems visible in a way that preserves nuance, accountability, and impact.
Education & Background
I hold an MBA and six-sigma certification from the Indiana University Kelley School of Business and a Bachelor of Arts in Economics & Philosophy from Ohio University. This unique combination provides me with a rigorous analytical foundation coupled with a deep appreciation for the "why" behind the data.