About Me

Business Analytics student at BYU-Idaho building decision-grade analytics for complex organizations.

Background

I am a Business Analytics student at BYU-Idaho (4.0 GPA) with minors in Statistics and Data Science. I am building a long-term career at the intersection of analytics, operations, and systems strategy. My academic path is deliberately technical and operational.

Healthcare impact is personal for me. Family health challenges shaped how I think about meaningful work. That is why I am deeply committed to operational and platform-level analytics that improve patient outcomes and system reliability.

What Drives My Work

Bottlenecks

Constraints that limit throughput, access, and quality

Risk Surfaces

Where uncertainty meets real cost and consequence

Intervention Thresholds

Knowing when to act, not just what to measure

Real Constraints

Tradeoffs under actual operating conditions

I am not interested in surface-level reporting. I am interested in building analytics that change decisions.

Technical Stack

Python

pandas, NumPy, scikit-learn, XGBoost, SHAP, simulation

SQL

Joins, CTEs, normalization, optimization, analytics views

R

tidyverse, regression, statistical modeling

BI Tools

Power BI (DAX, decomposition trees, KPI design), Excel forecasting

Systems

ETL workflows, relational schema design, reproducible pipelines

Working Style

High ownership
High intensity
Strategic and long-horizon
Values-driven and impact-focused
Most effective in autonomous, complex build environments

Data and analytics builder designing decision-grade systems for complex organizations, with a focus on operational risk, healthcare impact, and systems thinking.

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