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 Healthcare Data Analyst
I make healthcare operations measurable, then help leadership act on what the numbers say.
Four years of production data engineering underneath it: dbt, Snowflake, SQL, and backend systems.
Healthcare strategy and consulting, roles where the analysis and the recommendation belong to the same person. I'm not stepping away from data engineering. It's the part that makes a recommendation hold up when someone pushes back on it. Short term, I'm looking for healthcare-side internships and analyst roles, and I'm equally glad to do another data engineering summer at a healthcare organization.
Four years across healthcare operations data, university systems, and financial reporting. Most recently at Pennant, building the dbt models behind support reporting for home health, hospice, and senior living.
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.
Research that reached the state legislature, tools two nonprofits actually use, and models that shipped. Ask my AI about any of them and it will go as deep as you want.
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 end-to-end forecasting pipeline in R comparing Auto ARIMA, Boosted ARIMA (ARIMA plus XGBoost), and Prophet across 2.5 years of weekly shipment data.
A full-stack web app for a homeless services nonprofit, with Python and Pandas analytics on product distribution.
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.
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 candidate at BYU Marriott with a Healthcare Leadership minor, open to healthcare strategy, consulting, and data roles. The fastest way to reach me is email. I answer within a day.
Recruiting for data or software roles? See the engineering version