Data Engineering & Analytics Intern
Pennant Services
Built the dbt models behind Pennant's support reporting, then found and fixed the attribution bug that had been hiding 442,000 tickets.
I'm a Software Developer
I build backend systems and full-stack apps, then ship them: APIs, data pipelines, and interfaces people actually use.
Backend and full-stack work, with production data engineering and a healthcare domain focus running underneath all of it.
Software and data engineering roles, with healthcare as the domain this work happens to live in, not a constraint on what I'd build elsewhere. Short term, I'm looking for backend, full-stack, or data engineering internships and roles, and glad to keep shipping in the meantime.
Production experience building backend systems and APIs: C# and ASP.NET at BYU Housing, production dbt models on Snowflake at Pennant, and full-stack apps shipped directly with real nonprofit and faculty stakeholders.
Built the dbt models behind Pennant's support reporting, then found and fixed the attribution bug that had been hiding 442,000 tickets.
Kept enrollment data healthy for 10,000+ students at 99% uptime.
Research whose findings informed Utah state legislation.
Automated multi-million-dollar financial reporting that used to be manual.
Ran a real business end to end: acquisition, pricing, scheduling, delivery.
Want the detail on any of these? Ask my AI, it knows every bullet.
Full-stack apps built directly with real stakeholders, a backend system shipped at scale, and public code for the algorithmic fundamentals underneath it. Ask my AI about any of them and it will go as deep as you want.
A full-stack web app for a homeless services nonprofit, with Python and Pandas analytics on product distribution.
An internal admin site for a nonprofit supporting individuals with leprosy in India, managing communication between student sponsors and the students they support.
A site presenting a professor's research and coursework in one place.
An interactive site documenting 26 Python solutions across 8 topics, at an 86.8% acceptance rate.
Three production dbt models on Snowflake and four Tableau dashboards covering support operations for home health, hospice, and senior living affiliates.
A dataset of 2,000+ mobile app privacy policies built in Python, with regression models quantifying privacy risk across applications.
An ML pipeline that pulls from multiple news APIs and uses Hugging Face models to classify articles by topic and sentiment.
Led backend development for a team-built streaming platform on .NET and C#, deployed on Azure, with an ML recommendation engine and OAuth hardening.
Trained on my actual background, answering in my voice, and instructed never to make anything up.
MISM student at BYU Marriott with a Healthcare Leadership minor, open to healthcare strategy, product, data, and software roles. The fastest way to reach me is email. I answer within a day.
Recruiting for product or program management roles? See the product management version