Small, reproducible Python demos illustrating how scientific and data workflows support business decisions. Each example links to source under demos/ in the GitHub repository.
Demand and uncertainty
Forecast monthly demand with prediction intervals to frame inventory risk.
A/B testing decisions
Turn experiment results into effect sizes, confidence intervals, and a plain-language decision.
Segmentation
Cluster customers or products and summarize each segment with interpretable profiles.
Margin what-if
Explore price and cost sensitivity with simple elasticity-style scenarios.
Multimodal support signals
Fuse text, product/channel, and attachment signals; cluster and track weekly mix.
Repeatable weekly report
Generate templated HTML from CSVs with Python and Jinja2; English and Spanish UI strings.