Logan Spencer · Healthcare Data & Operations

The numbers

What the work added up to

11M+

support events modeled into reporting tables

1.19M

tickets covered across 93 teams

76K to 518K

ticket volume corrected by rebuilt attribution logic

99%

uptime maintained on BYU housing systems

Where I'm headed

Two tracks, one skill set

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.

Healthcare leadership & consulting

Operations analysis, metric definition, and the stakeholder work that makes either one matter. Healthcare Leadership minor, ambassador for the Healthcare Leadership Association, competing in the Wasatch Healthcare Leadership Competition, and a summer inside home health, hospice, and senior living operations.

Data engineering & analytics

Production dbt models on Snowflake, Tableau reporting validated end to end, Oracle and ASP.NET backend work, Python automation. Four years of it, still shipping.

Ambassador

Healthcare Leadership Association

Representing the association at BYU, connecting students to healthcare leadership opportunities and events.

Competitor

Wasatch Healthcare Leadership Competition

Case competition on healthcare strategy and operations. Currently competing.

Member

Healthcare Leadership Club at BYU

Experience

Four years of getting closer to the data

From reconciling Workday reports to owning production dbt models that 93 teams report off of.

Data Engineering & Analytics Intern

Pennant Services

Jun to Aug 2026

Built the dbt models behind Pennant's support reporting, then found and fixed the attribution bug that had been hiding 442,000 tickets.

Built three production dbt models on Snowflake transforming 11M+ support events into reporting tables covering 1.19M tickets across 93 teams serving home health, hospice, and senior living affiliates.
Shipped four Tableau dashboards giving operations leaders team, staff, and ticket-level visibility, validating every metric against both Snowflake and the source system.
Rebuilt team-attribution logic to capture sub-day handoffs the prior model missed, correcting the routing team's volume from 76K to 518K tickets handled.
Presented the revised model and metric definitions to department leadership, securing new attribution standards.

dbtSnowflakeFivetranTableau

Data Analyst (Backend Systems)

BYU Housing Department

May 2025 to May 2026

Kept enrollment data healthy for 10,000+ students at 99% uptime.

Analyzed backend enrollment data for 10,000+ students, optimizing Oracle SQL queries to maintain 99% uptime.
Resolved 20+ production database and API issues using SQL and ASP.NET logs.
Collaborated with housing stakeholders to streamline enrollment workflows using C# and Oracle data structures.

Oracle SQLC#ASP.NET

Machine Learning Researcher

BYU Marriott School of Business

Sep 2025 to Present

Research whose findings informed Utah state legislation.

Built a dataset of 2,000+ mobile app privacy policies in Python and Pandas for ed-tech privacy research.
Developed regression models to quantify privacy risk across applications.
Group's findings informed Utah HB55 (2026) and were covered by KSL.

PythonPandasRegression

Accounting Analyst

BYU Continuing Education

Oct 2024 to Aug 2025

Automated multi-million-dollar financial reporting that used to be manual.

Automated multi-million-dollar financial reporting workflows in Python and SQL for executive stakeholders.
Produced and reconciled 15+ monthly Workday reports; transformed data via SQL and Power Query.

PythonSQLPower QueryWorkday

Co-Owner

Perfection Reflection Window Washing

Apr 2024 to Apr 2025

Ran a real business end to end: acquisition, pricing, scheduling, delivery.

Doubled the client base weekly through referrals and direct sales.
Oversaw weekly operations and payments, generating $500+ weekly revenue.

OperationsSalesPricing

Selected work

What I built, and what changed because of it

Four projects worth the detail. Each one is the problem, what I actually did, and what came out the other side.

Healthcare operations

Pennant Support Reporting

Pennant Services · 2026

dbtSnowflakeFivetranTableau

Three production dbt models on Snowflake and four Tableau dashboards covering support operations for home health, hospice, and senior living affiliates.

The problem

Operations leaders across 93 teams had no shared view of how support tickets were actually being handled, and the numbers they did have were wrong. Team attribution was assigned at end of day, so any handoff inside a single day disappeared from the record.

What I did

I landed Zendesk data through Fivetran into Snowflake, validated it against the source system, and modeled it into a star schema in dbt. Then I rebuilt the attribution logic to capture sub-day handoffs, validating every metric against both Snowflake and the source before it reached a dashboard.

The outcome

11M+ support events became reporting tables covering 1.19M tickets. The routing team's real volume turned out to be 518K tickets, not 76K. I presented the revised model and metric definitions to department leadership, who adopted them as the new attribution standard.

Built on Pennant's internal data, so the dashboards themselves are not public. I am glad to walk through the modeling decisions and the attribution logic in an interview.

Research to policy

Ed-Tech Privacy Research

BYU Marriott School · 2025 to 2026

PythonPandasRegressionNLP

A dataset of 2,000+ mobile app privacy policies built in Python, with regression models quantifying privacy risk across applications.

The problem

Schools adopt hundreds of ed-tech apps with no practical way to compare what each one does with student data. Privacy policies are long, inconsistent, and rarely read.

What I did

I collected and preprocessed a dataset of 2,000+ mobile app privacy policies in Python and Pandas. The team then developed regression models to score privacy risk so apps could be compared on a common scale.

The outcome

The group's findings informed Utah HB55 (2026) and the work was covered by KSL. Research that reached a legislature, not just a grade.

ML engineering

Time Series Demand Forecasting

BYU IS 555 · 2026

RmodeltimeProphetDockerAWS S3

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.

The problem

Forecast weekly shipment volume for a distribution center accurately enough to be scored against a holdout set nobody could see in advance.

What I did

I built the pipeline in R with modeltime and tidymodels, comparing Auto ARIMA, Boosted ARIMA, and Prophet Regression across 2.5 years of weekly data, with temperature, CPI, and unemployment as external regressors.

The outcome

Deployed the winning model as a Dockerized vetiver REST API and submitted predictions to AWS S3 for blind holdout scoring.

View the code →

Product ownership

Rising Stars Admin Platform

Rising Stars Outreach Foundation · 2026

Full-stackClaude Code

An internal admin site for a nonprofit supporting individuals with leprosy in India, managing communication between student sponsors and the students they support.

The problem

The foundation coordinates sponsorships between donors and students in India, and was tracking those relationships without a central system to manage them.

What I did

I worked directly with the nonprofit to turn their real coordination needs into a scoped tool, then built the admin platform end to end.

The outcome

A single place for the organization to monitor and manage sponsor and student relationships.

An internal tool for the foundation, so it is not publicly accessible. Screenshots available on request.

Also built

Full-stack

Turtle Shelter Dashboard

A full-stack web app for a homeless services nonprofit, with Python and Pandas analytics on product distribution. Relational database designed with ERD documentation, JavaScript frontend, deployed on AWS EC2.

Nonprofit client · 2025

Client work

Faculty Site for Dr. Paul Reynolds

A site presenting a professor's research and coursework in one place. Scoped from a real brief with a real stakeholder, then shipped.

BYU · 2026

Fundamentals

DSA Portfolio

An interactive site documenting 26 Python solutions across 8 topics, at an 86.8% acceptance rate. Each entry includes time and space complexity analysis, technique rationale, and honest reflections on problem solving.

Personal · 2025 · View the code →

ML engineering

News Aggregator

An ML pipeline that pulls from multiple news APIs and uses Hugging Face models to classify articles by topic and sentiment. Built a personalized feed by analyzing prediction confidence scores against user preferences.

Personal · 2025

Project leadership

Movie Streaming Service

Led backend development for a team-built streaming platform on .NET and C#, deployed on Azure, with an ML recommendation engine and OAuth hardening. Served as de facto project lead, running sprint planning, coordinating teammates, and keeping the project on scope.

BYU team project · 2025

Stack & education

What I work in

Data & Analytics

Advanced SQLSnowflakePostgreSQLOracleTableauPower BIRStudioRegression Modeling

Data Engineering

dbtETL/ELT ModelingFivetranData ValidationData CleaningAPI IntegrationStar Schema Design

Programming

Python (Pandas)SQLRJavaScriptC#.NETSwift

Cloud & Tooling

AWS (EC2, RDS, S3)Azure DevOpsGit/GitHubClaude CodeDocker

Methodologies

Agile / ScrumCross-Functional CollaborationStakeholder ReportingMetric Definition

Education

Master of Information Systems Management · Expected Dec 2027

Brigham Young University, Marriott School of Business

B.S. Information Systems · Expected Apr 2027

Brigham Young University, Marriott School of Business

Minor: Healthcare Leadership · GPA 3.75 · BYU Academic Scholarship

Coursework & achievements

Machine LearningData StructuresIS SecurityMobile Platform DevelopmentData Science for OrganizationsData Analytics

·Ambassador for the Healthcare Leadership Association
·Competing in the Wasatch Healthcare Leadership Competition
·Healthcare Leadership Club member at BYU
·Regents Scholar and Highland City Youth Council member

Ask the AI

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Trained on my actual background, answering in my voice, and instructed never to make anything up.

Hi, I'm Logan's AI. Ask me about the work, the stack, or where I'm headed. I answer as Logan.

Contact

Let's talk.

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.

rls21@byu.edu LinkedIn GitHub