Data / Useful when it changes a decision

Data that changes a decision.

I built and managed a team of six data scientists at Expedia Group and established the executive reporting behind market prioritization and resource allocation. Now I build the software, too.

Austin, Texas · Open to data leadership roles

Matthew Rundle
Matthew RundleBuilder. Team leader. Hands-on.
Data Leadership
6

Data scientists built and managed.

15+

Variables in the acquisition segmentation.

This résumé

Data and Analytics Leadership

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Expedia Group / Vrbo, Supply and Commercial Data Science, 2019–2025

How I work

Build the team. Inform the call.

01

Build the team

Built and managed six data scientists with shared Python and SQL standards.

02

Focus the effort

Segmentation across more than 15 variables to prioritize high-value property acquisition.

03

Inform executives

An executive analytics function for commercial strategy and resource allocation.

From data to decision

  1. SRCSourcesDisparate commercial data
  2. MODELSegment15+ variables, prioritized
  3. REPORTExecutive viewOne consistent set of numbers
  4. ACTDecisionStrategy and resource allocation

Experience

Build it. Lead it.
Understand the business.

Full résumé

Expedia Group / Vrbo · 2019–2025

Data is useful when it changes a decision.

I built and managed a team of six data scientists, working with executives on the commercial decisions behind a travel business.

  • Build the team. Shared Python and SQL standards for analytics work.
  • Understand the market. Segmentation across more than 15 variables to prioritize high-value property acquisition.
  • Inform the executives. Integrated disparate data into executive reporting for strategy and resource allocation.

2026 — Present

Western Magnetics

Manufacturing systems and applied AI

Built and deployed the MES and ERP running production, quality, purchasing, inventory and shipping.

2025

Domain Labs

Founder, AI and SaaS Solutions

Designed and built custom SaaS for small businesses, including CoreLinq Communications and CoreLinq Scribe.

2021 — 2025

Expedia Group / Vrbo

Senior Manager, Supply and Commercial Data Science

Built and managed a team of six data scientists. Established executive analytics for commercial strategy and resource allocation.

2019 — 2021

Expedia Group / Vrbo

Manager, Analytics and Data Science

Market segmentation across more than 15 variables; regional reporting for sales visibility and prioritization.

2013 — 2019

HomeAway · National Instruments · Advisory Board

Analytics and consulting

Global reporting, data analytics consulting and business analysis.

Selected work / 01—03

Built to be used.

Three systems, three different businesses. Ownership from the problem through production.

The software that runs Western Magnetics’ factory.

I built the manufacturing execution system (MES) and ERP the company runs on: every build, quality check, purchase, inventory move and shipment goes through it.

The setting

A hard-tech startup that needed software built around the factory’s real operating needs, with the people doing the work.

Next.js · TypeScript · PostgreSQL · Prisma · Docker

01

Worked directly with production staff from initial prototype through integration, hardening and rollout.

02

Built interfaces carrying live machine signals into the MES, alongside the mechatronics engineers who built the controllers.

03

Designed work-order, routing and station workflows with role-based operator interfaces and an event stream of production state changes.

AI that handles a small business’s calls, texts and email.

One platform for outreach and follow-up. AI agents make and answer calls, work the inbox and book appointments, then turn conversations into orders.

  • Verifies conversation outcomes before creating follow-up tasks.
  • Detects stalled work, bounds retries and escalates to a person when needed.
  • Drip campaigns, cold and warm-lead calling, AI inbox handling and scheduling through one agentic process.

Next.js · TypeScript · Supabase · Inngest · Retell · Twilio

CoreLinq / Outbound
CoreLinq campaign interface showing outreach progress and call outcomes in a demo workspace
Actual product screenshot · synthetic demo data

AI that writes the dentist’s chart notes.

After a patient visit, Scribe drafts the clinical note and billing codes for the dentist to review and approve. It also tells the practice what supplies upcoming appointments need.

  • AI-drafted SOAP notes, ICD and CDT codes and procedural notes.
  • Clinicians edit, review and approve the drafts; review is built into the workflow.
  • Connects upcoming appointments to inventory and practice operations.
Explore the populated demo

Next.js · React · Supabase · Anthropic · OpenAI

Scribe / Practice
CoreLinq Scribe development screenshot showing the demo practice dashboard
Development screenshot · demo practice

Toolkit

Analytics

Python, SQL, Tableau, segmentation, experimentation, statistical analysis and analytics pipelines

Leadership

Technical team development, shared analytics standards, executive communication and stakeholder management

Data and systems

Data modeling, reporting integration, PostgreSQL, API design and operational workflows

Fair questions

What people
usually ask.

What did your team work on?

Supply and commercial analytics: market segmentation, listing quality scoring, regional reporting and executive analytics for strategy and resource allocation.

How did you lead the team?

Built it, managed it, and set shared Python and SQL standards so analytics work was consistent and reviewable.

Why the recent software work?

It's the same instinct: get data into the decision. At Western Magnetics that meant building the system that records production itself.

Are you hands-on?

Yes. I write Python and SQL, and I've built production software in TypeScript and PostgreSQL since leaving Expedia.