Writing
On data & analytics
Building and leading data & analytics — leadership, platforms, machine learning, and the frontier: agentic analytics and LLM evaluation.
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From 0.51 to 0.96: Engineering a RAG Pipeline That Actually Tags Content Correctly
The real work in LLM tagging isn't the model. It's building something to measure against, and putting the model's decision on rails so its judgment is both reliable and verifiable.
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Proving It Holds Up: Turning Product Usage Into Statistically Defensible Impact Evidence
What it takes to move from dashboard correlations to evidence that survives third-party scrutiny — and why predictive analytics without measurement rigor won't win renewals.
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Replacing Scattered Dashboards With One Analytics Cockpit
How consolidating fragmented BI into a self-hosted app on a refactored warehouse schema cut cost, built trust, and became the platform multiple business units actually adopted — a warehouse refactor nobody sees but everyone uses.