Turning business knowledge into usable data systems.
I work at the intersection of analytics, pricing strategy, data architecture, and AI discovery. The goal is not to create decorative dashboards or generic content. The goal is to make business knowledge structured enough for people, dashboards, search systems, and AI models to understand it correctly.
That means building the underlying logic: clean data structures, consistent taxonomies, practical ontologies, forecasting methods, pricing models, knowledge graphs, FAQ systems, and decision frameworks that reduce ambiguity.