Statistical Consultant
- Detected a decline of over 90% in tutoring center usage post-COVID, revealing persistent attendance issues and the need for interventions.
- Identified underrepresented student groups with lower tutoring center usage, delivering insights for targeted support to increase engagement among these populations.
- Leveraged MySQL and R to clean and integrate over 1 million rows across multiple Excel files into an SQL database, improving data integrity and accessibility.
- Developed and deployed lasso, logistic, and ridge regression models in R to analyze the impact of tutoring center usage and COVID-19 on student retention, uncovering meaningful associations that inform retention.