A collection of data analytics projects built in R, hosted via GitHub Pages. Each project works through a real business problem using real data — showing not just the code but the thinking behind it.
A full narrative R Markdown analysis simulating the first day at a mid-market SaaS company. Works through revenue and margin trends, budget vs. actual variance, headcount and labor costs, and unit economics — with written analysis at every step explaining the thinking behind each chart.
Tools: R, R Markdown, ggplot2, kableExtra, tidyverse
A full narrative analysis of a B2B sales pipeline across 8,800 deals. Covers funnel shape, win rates by product and sector, agent and manager performance, and deal velocity — ending with an executive summary a sales leader could act on immediately.
Tools: R, R Markdown, ggplot2, kableExtra, tidyverse
Data: Maven Analytics — CRM Sales Opportunities
A machine learning project that identifies at-risk telecom customers before they cancel. Trains and compares three models — regularized logistic regression, random forest, and XGBoost — then delivers a scored intervention list, a revenue-at-risk calculation, and a model card. XGBoost achieves 0.938 ROC AUC on held-out test data.
Tools: R, tidymodels, XGBoost, ranger, glmnet, vip, R Markdown
Data: Maven Analytics — Telecom Customer Churn
| *Built with R | Hosted on GitHub Pages* |