Data Engineering & Analytics Intern
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 Aspiring Product Manager
I turn stakeholder needs into shipped products, leading the team and the technical work it takes to get there.
Backed by production engineering work across data, backend, and full-stack systems, so I can scope what's actually buildable, not just what sounds good.
Product management, where translating what stakeholders actually need into something a team can build is the whole job. I'm not leaving engineering behind to get there. It's what lets me scope realistically and talk credibly with the people who'll build it. Short term, I'm looking for PM and APM internships and roles, and glad to keep building in the meantime.
Stakeholder-facing work across four roles: led sprint planning and backend development for a team project, turned a data-engineering find into a new reporting standard at Pennant, streamlined enrollment workflows with BYU Housing stakeholders, and ran a window-washing business end to end as co-owner.
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.
Led sprint planning and backend development for a team-built platform, and scoped tools directly with real nonprofit and faculty stakeholders before writing any code. Ask my AI about any of them and it will go as deep as you want.
Led backend development for a team-built streaming platform on .NET and C#, deployed on Azure, with an ML recommendation engine and OAuth hardening.
A site presenting a professor's research and coursework in one place.
A full-stack web app for a homeless services nonprofit, with Python and Pandas analytics on product distribution.
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 internal admin site for a nonprofit supporting individuals with leprosy in India, managing communication between student sponsors and the students they support.
An interactive site documenting 26 Python solutions across 8 topics, at an 86.8% acceptance rate.
An ML pipeline that pulls from multiple news APIs and uses Hugging Face models to classify articles by topic and sentiment.
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 healthcare strategy or operations? See the healthcare version