R Statistical Modeling Assistance

I’m looking for an R expert who can dig into my dataset and uncover meaningful patterns or relationships. The focus is statistical testing and modeling rather than simple charting, so you should be comfortable building and validating models, running exploratory analyses, and interpreting the results in clear language.

Here’s what I need:
• Clean, well-commented R script (tidyverse-friendly) that loads the data, performs all preprocessing, and executes the chosen statistical techniques.
• A short write-up (R Markdown or similar) that explains the rationale behind each step, highlights key findings, and includes any visualizations generated with ggplot2.
• Guidance on how to tweak parameters or extend the analysis so I can rerun it on future data.

Tools and skills that will stand out include dplyr, tidyr, ggplot2, caret, and any relevant machine-learning or multivariate packages you believe fit the objective. If you’ve previously uncovered hidden structures, segmented customers, or revealed correlations in complex datasets, please mention it and share a code snippet or link.

I’ll provide the raw data and any necessary context once we agree on the approach. Let me know your preferred timeline and how you typically document your work so I can reproduce every step after delivery.