The story
A course-backed research project investigating the relationship between sleep patterns and exam performance among undergraduate students.
I cleaned the survey dataset in Python, then moved to R for the statistical modeling — linear regression plus a hierarchical layer to capture per-cohort variance. The goal wasn't to find a clickbait correlation, but to understand where the data actually supported claims and where it didn't.
The deliverable was a written analysis with reproducible code and honest plots.
Marks in the margin
- Cleaned and reshaped a student-survey dataset for analysis.
- Fit linear and hierarchical models to estimate effect size.
- Produced readable diagnostic plots to critique model fit.
- Wrote the results up for course review.