Optional analytics
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Read the privacy policyI design and build analytics infrastructure, revenue intelligence and applied AI workflows, from source systems and data contracts to monitoring and operational interfaces.
Four systems spanning website intelligence, revenue decisions, grounded content, and reusable visual systems.
Turns website signals into a prioritised fix list.
Turns product usage signals into prioritised, explainable revenue action.
Turns trusted source material into grounded, reusable content without losing voice.
Turns a live website into reusable visual tokens and structured brand signals.
I help when the raw pieces exist, but the reporting, automation, intelligence, or interface around them is still too manual to trust.
Clean pipelines, warehouse models, scheduled jobs, and quality checks.
Useful when reporting still depends on exports, spreadsheet logic, or disconnected tools.
Automated dashboards, summaries, alerts, and reporting delivery workflows.
Useful when the same report is rebuilt every week and still needs a meeting to explain it.
Funnels, cohorts, lead scoring, conversion reporting, and revenue signals.
Useful when product or revenue teams need to know where attention should go next.
Classification, retrieval, monitoring, scoring, and human review paths.
Useful when an AI idea needs clear inputs, checks, logs, fallbacks, and handoff.
Diagnostic portals, admin tools, monitoring screens, and data-backed products.
Useful when the underlying data work needs an interface people can use directly.
My background spans data systems, research, product analytics, and technical leadership. The common thread is making inputs, assumptions, failure modes, and outputs clear enough to trust.
Bring the dashboard nobody trusts, the recurring report that takes too long, or the AI workflow that still needs structure. We can turn it into a clearer system.
Send the current workflow, source material, report, or product idea. The rough version is enough to begin.
Clarify the workflow, evidence, constraints, and decision.
Connect the data, logic, automation, and interface.
Test the system, document its boundaries, and make ownership clear.