Our Team

our team of data-focused problem solvers.

Erik Carlson, FACHE, FHFMA, FACMPE, MBA
Co-founder & CEO

I have always taken a less traveled path in my life and career. This unique perspective allowed me to understand how various disciplines and industries leverage data. I’m incredibly passionate about using data and analytics at the right level of detail to provide value for our partners and clients. Our team’s curated insights help push projects forward with confidence and sound techniques.

“What lies behind you and what lies in front of you, pales in comparison to what lies inside you.” – Ralph Waldo Emerson

   
Jon Sagehorn
Sr. Strategy and Finance Analyst

Over a twenty-five year career in healthcare, I’ve worn many hats; accountant, auditor, financial analyst, business intelligence, and most recently strategic planner. Each new adventure has added to the next, allowing me to find and develop a passion for analytics and especially for the visualization of the results. Being able to tell the story of an analysis, to convey useful information in an accessible way that can then aid in the decision making process is what really makes each day fun and more interesting than the last.

“The rules are simple. Take your work, but never yourself, seriously. Pour in the love and whatever skill you have, and it will come out.” – Chuck Jones

Chaz Guerrero

Director of Application Architecture As a seasoned cloud architect and security expert, Chaz has over a decade of relevant project experience. Chaz brings a unique skill set of application architecture, design and deployment, security protocol understanding, and cloud-based best practices. Chaz continually looks to improve and make data processes more efficient – a common theme throughout his career.  

Brett Nebeker

Full-Stack Data Scientist As a full-stack data scientist, Jason brings both a deep and broad skill set to the project. Jason spent the last decade honing his craft in various capacities, including teaching data science at various shops, developing and deploying data products, and shaping structured/unstructured data for analysis. Specifically, his primary skills consist of ingesting large datasets, engineering data, deep analytics, and building and deploying machine learning models.

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