The client needed quantitative analysis for a mixed-methods food waste intervention study. I cleaned and reconciled longitudinal survey exports across three timepoints, and constructed proxy outcome measures where validated scales were unavailable. I ran repeated-measures and subgroup analyses in Python. I produced the client report, supporting figures, and a reproducible analysis handoff package.
Built with
- Statistical Analysis
- Python
- pandas
- Longitudinal Analysis
- Data Visualization