Analyst — workflow architect
Systems that let a business answer its own questions.
I build the pipelines, definitions, and dashboards that turn a company's own data into weekly decisions — AI-assisted where it pays, measured outcomes, no added headcount.
Most businesses don't need a data team. They need this week's questions — where the hours go, which work pays, what to stop doing — answered from their own systems, in time to act.
Work
Case studies with receipts: a billing takeover measured honestly, a data layer that ties out to the cent, an AI platform graded against its own criteria, and a live revenue instrument. The numbers below are the door — each one opens the study that proves it.
Average monthly non-billable hours
509.0 in August 2025 vs. 186.5 across January–May 2026 for delivery staff on client projects.
Observed monthly difference
Approximate difference between the measured windows—not an invoice, capacity, or revenue measure.
Revenue tie-out
Every derived report re-sums to the invoiced ledger to the cent.
History owned
Operational history archived queryable — including records the ERP has since deleted.
Articles
The operating thesis at length: why the AI is the smallest part, and what the other 85% actually is. Essays, not posts.
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About
How I work, the rules behind the numbers, and the part a resume can't hold.
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