Business intelligence
Dashboards people actually open, semantic layers that hold up, report performance, and the governance that keeps a number trusted once six teams depend on it.
I write and make videos about business intelligence, analytics, data science, and AI — drawn from eighteen years on the unglamorous side of it. The schema nobody sees, the query that had to get twice as fast, the model that had to survive contact with a real business.
Dashboards people actually open, semantic layers that hold up, report performance, and the governance that keeps a number trusted once six teams depend on it.
Data modeling and warehouse design — the schema, the grain, the joins. The decisions made early that quietly determine everything downstream.
Forecasting, statistical modeling, and framing a vague business question as something you can actually measure — then explaining the answer to people who didn't ask for a p-value.
Models that ship to production rather than stalling in a notebook, and an honest read on where AI genuinely helps analytics work — and where it's being sold to you.
I'm an analytics lead architect based in San Jose, with eighteen years designing analytics and BI systems end to end — mostly inside large enterprises where the data is messy, the stakes are real, and "just rebuild it" was never on the table. I also hold a master's in AI and machine learning.
Consulting, speaking, collaborating on a video, or comparing notes on a stubborn data model — I read everything that comes in.
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