Portfolio work

Marketing analytics judgment, packaged into repeatable workflows.

This page separates the site from a GitHub profile. The marketing analytics work shows how I frame measurement problems for business decisions; the agentic analytics work shows how I turn repeatable GTM processes into AI-assisted systems.

Marketing analytics

The missing layer from GitHub.

Public repos show implementation. These pieces show how I think about performance, measurement, stakeholders, and decisions.

Marketing analytics

Lightweight Marketing Analytics Workflow

A practical reporting workflow for turning campaign, CRM, and funnel data into weekly decisions without exposing private client or employer spend.

Problem: Marketing teams often have channel metrics, CRM data, and budget context split across tools, which makes performance conversations slow and overly manual.
Approach: Structure inputs around campaign spend bands, lead quality, pipeline movement, and conversion rates; then summarize what changed, why it matters, and what to test next.
Shows: Designed to show marketing judgment, measurement fluency, and executive-friendly communication while keeping spend anonymized as $XXk per month or $XXX million.

Agentic analytics

AI workflows for GTM and analytics teams.

These projects show practical systems thinking around SEO, competitor monitoring, paid media, outbound, and governed analytics interfaces.

Agentic analytics

SEO Agent Pipeline

A 10-stage SEO content pipeline with research, approval gates, and deploy-ready content operations.

Problem: SEO content production gets slow when research, briefs, drafting, QA, and deployment are handled as disconnected manual steps.
Approach: Break the workflow into explicit agent stages with human approval gates so the system can move quickly without losing editorial control.
Shows: Demonstrates practical agent orchestration, content operations, and marketing workflow design.

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Agentic analytics

Meta Ads Agent

A Cursor agent playbook for Meta paid social creative, copy, testing, pruning, scaling, and learning loops.

Problem: Paid social optimization depends on repeatable testing discipline, but that discipline is easy to lose when creative and reporting move separately.
Approach: Codify paid social workflow stages so campaign analysis, creative iteration, and scaling decisions follow a consistent loop.
Shows: Shows how paid media knowledge can be translated into an AI-assisted operating system.

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Agentic analytics

Competitor Intelligence Agent

A scheduled agent that monitors competitor sitemaps, scores new content against ICP relevance, and flags market changes.

Problem: Competitor research is valuable but usually sporadic, making teams miss pricing, content, and positioning changes.
Approach: Monitor source changes on a schedule, score new pages, and convert findings into prioritized content and positioning ideas.
Shows: Connects market monitoring, ICP thinking, and automated research into a repeatable GTM workflow.

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Agentic analytics

Agentic Outbound Pipeline

A GTM workflow for researching accounts, shaping outreach, and bringing more structure to outbound motion.

Problem: Outbound breaks down when research quality and message relevance are inconsistent across accounts.
Approach: Use agentic steps to gather context, reason about fit, and produce outreach inputs that can be reviewed before use.
Shows: Shows the bridge between marketing systems, sales motion, and applied AI workflow design.

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Agentic analytics

Mako Metrics MCP

A public MCP registry listing for connecting governed analytics context to AI-assisted workflows.

Problem: Analytics agents need trusted metric definitions and controlled interfaces, not ad hoc access to scattered data.
Approach: Expose analytics capabilities through an MCP-ready interface that can be discovered and used by AI tooling.
Shows: Demonstrates interest in governed metric access, analytics UX, and AI-native data products.

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