Shaun Davis
Applied AI and Analytics ConsultantShaun Davis builds AI and analytics systems that turn data into decisions. His career, spanning business intelligence, data engineering, and applied AI, follows one question: how do you cut through noise instead of adding to it? He develops agents that automate workflows, MCP servers that streamline developer tools, AI-driven data quality systems, and retrieval systems that turn archives into answers. Underneath it all is a strong data foundation that keeps outputs trustworthy.
A recent client described him as “a data therapist” who understands how to turn inputs into outcomes.
Shaun’s engagements stay lightweight and focused. A weekly 25-minute session is enough to review progress, remove blockers, and set direction. He builds between sessions, brings in additional support when needed, and delivers usable artifacts, not meeting overhead.
What Our Clients Say
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Experience
Services
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AI Adoption and Integration
-AI Use Case Discovery and Roadmapping
-Human-Centered Automation Design
-Applied AI Sprints
-Context Engineering and Knowledge System Design
AI that works because everyone helped build it. Most AI initiatives don't fail in engineering. They fail in the gap between a prototype and a Tuesday morning. Shaun builds AI that survives contact with the business, starting with the people doing the work, surfacing what's truly broken, and designing the workflow, guardrails, and integrations that make AI usable in real systems. Recent work includes MCP servers that save developer time and improve data consistency, AI-driven data quality tooling that catches issues before they reach decision-makers, and retrieval systems that turn organizational archives into answers. -
Modern Data Foundations
-Pipeline Reliability and Data Flow
-MDM and Data Quality
-Metric Truth and Drift Prevention
-Governance Without Gridlock
The governed analytics backbone that makes everything else possible. Reliable automation, trustworthy reporting, and AI initiatives don't begin with models. They begin with modern, lasting foundations. Shaun builds that backbone the way Action builds it: stable pipelines, authoritative records, clear metric definitions, and pragmatic governance that accelerates delivery instead of blocking it. Current work includes quality-verified incident data consolidated across distribution mediums, designed so site reliability teams get signals they trust instead of signals they argue about. -
Visual Data Storycraft
-Data Narrative Construction
-High-Impact Dashboards
-Wireframing and Storyboard Design
-Advanced and Bespoke Data Visualization
Visual analytics people actually want to use. Most visualization efforts fail because the experience is wrong: charts pile up, KPIs lack context, users click once and never return. Shaun treats analytics as a design and communication discipline: story structure anchored to real decision moments, information hierarchy that reduces cognitive load, and KPIs framed with thresholds and action paths. Across a decade of Tableau practice, including a visual analytics brand overhaul for a Fortune 10 marketing organization and development work for CPG, transportation, higher education, and legal-tech clients, the outcome has been the same: dashboards teams open on Monday morning without being asked.
Education
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Florida State University