ayahanouni
Aya Hanouni
Recently Published
Revenue Drivers Analysis
R Markdown analysis identifying key revenue drivers using Random Forest feature importance and logistic regression. Includes correlation heatmaps, variable importance plots, and styled tables. Built with ggplot2, randomForest, and kableExtra. Synthetic B2B SaaS deal data included.
AI-Enhanced Lead Scoring Model
R Markdown lead scoring model using logistic regression and Random Forest to predict conversion likelihood. Includes ROC curves, feature importance ranking, and score-tiering logic. Built with ggplot2, randomForest, and kableExtra. Synthetic lead data included.
Discount Elasticity & Price Sensitivity Analysis
R Markdown analysis measuring the impact of discounting on win rates and deal margins. Models price elasticity across segments and product lines using regression and grouped comparisons. Built with ggplot2 and kableExtra. Synthetic B2B deal data included.
Sales Velocity and Bottleneck Analysis
Analyzed 300 B2B deals to find where revenue gets stuck. Identified Proposal and Negotiation as the top bottlenecks, with 60% of leads dropping off before close. A small win-rate lift could add ~$262K/month, no new leads needed. Tools: R · ggplot2 · RMarkdown
