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 Data Engineer
I build the models behind the reporting, then validate them until the numbers hold up under pressure.
I'm also pursuing healthcare strategy and consulting. That's the domain this work lives in, not a reason I'd turn down engineering roles.
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.
Production dbt models on Snowflake, Tableau reporting validated end to end, Oracle and ASP.NET backend work supporting 10,000+ students, and Python automation of multi-million-dollar reporting.
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.
Forecasting pipelines, ML classification, a documented algorithms portfolio, and full-stack apps deployed on AWS. 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.
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.
FundamentalsAn 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.
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.
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.
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 healthcare strategy or operations? See the healthcare version