PROJECTS

Utah State University Analytics Solutions Center

Cache County School District Dual Language Immersion Analysis

September 2025 - January 2026

I worked on this project with the Analytics Solutions Center, a consulting arm of Utah State University's Department of Data Analytics and Information Systems. We used causal inference statistics to assess the efficacy of Cache County School District's Dual Language Immersion program on student academic outcomes. Our best model was a Coarsened Exact Match using 21 predictor variables.

View on GitHub

Utah State University, Introduction to Regression and Machine Learning for Analytics

Wine Quality Linear Regression Analysis and Flight Delay Classification Analysis

September - December 2025

This class was my first real introduction to generalized linear regression. The first project, Wine Quality Linear Regression Analysis, used a dataset from [Cortez et al. 2009] and a linear regression model to predict wine quality The second project, Flight Delay Classification Analysis, used datasets from the US Bureau of Transportation Statistics and the Iowa Environmental Mesonet. We created a logit model to predict if a flight would be delayed based on weather patterns, utilizing interaction terms and principal component analysis.

Wine Quality Linear Regression Analysis (PDF) Flight Delay Classification Analysis (PDF)

We also did two projects for homework. The first project, Peanut Butter Sales Analysis, used a linear regression model to predict the sales of peanut butter based on price, size, texture, coupons, etc. The second project, Qualified Leads Classification Analysis, used a logit model to predict whether a sales lead will be qualified.

Peanut Butter Sales Analysis (PDF) Qualified Leads Classification Analysis (PDF)

Utah State University, Introduction to Modern Data Analytics

Nashville AirBnB Insights

January - April 2025

This class covered a variety of statistical techniques, which are all incorporated in this final project. Nashville AirBnB Insights assesses the viability of AirBnB listings using an associations rules analysis, a Spearman coefficient correlation matrix, and k-means clustering for customer segmentation.

Nashville AirBnB Insights (PDF)

Utah State University, Data Visualization with Tableau

Utah Department of Transportation Traffic Analysis

July - August 2024

I completed this as a final project for a Tableau class. I chose a collection of datasets from the Utah Department of Transportation, consisting of six monitors that collected traffic numbers every hour. This Tableau dashboard allows the user to see traffic trends from these six monitors by hour, day, month, and year. Using this dashboard, UDOT workers could optimally time road construction from when there is the lowest level of traffic.

[Tableau link]