Build the team
Built and managed six data scientists with shared Python and SQL standards.
Data / Useful when it 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

Data scientists built and managed.
Variables in the acquisition segmentation.
This résumé
Expedia Group / Vrbo, Supply and Commercial Data Science, 2019–2025
How I work
Built and managed six data scientists with shared Python and SQL standards.
Segmentation across more than 15 variables to prioritize high-value property acquisition.
An executive analytics function for commercial strategy and resource allocation.
From data to decision
Experience
Expedia Group / Vrbo · 2019–2025
I built and managed a team of six data scientists, working with executives on the commercial decisions behind a travel business.
2026 — Present
Built and deployed the MES and ERP running production, quality, purchasing, inventory and shipping.
2025
Designed and built custom SaaS for small businesses, including CoreLinq Communications and CoreLinq Scribe.
2021 — 2025
Built and managed a team of six data scientists. Established executive analytics for commercial strategy and resource allocation.
2019 — 2021
Market segmentation across more than 15 variables; regional reporting for sales visibility and prioritization.
2013 — 2019
Global reporting, data analytics consulting and business analysis.
Selected work / 01—03
Three systems, three different businesses. Ownership from the problem through production.
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
Worked directly with production staff from initial prototype through integration, hardening and rollout.
Built interfaces carrying live machine signals into the MES, alongside the mechatronics engineers who built the controllers.
Designed work-order, routing and station workflows with role-based operator interfaces and an event stream of production state changes.
One platform for outreach and follow-up. AI agents make and answer calls, work the inbox and book appointments, then turn conversations into orders.
Next.js · TypeScript · Supabase · Inngest · Retell · Twilio

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.
Next.js · React · Supabase · Anthropic · OpenAI

Toolkit
Python, SQL, Tableau, segmentation, experimentation, statistical analysis and analytics pipelines
Technical team development, shared analytics standards, executive communication and stakeholder management
Data modeling, reporting integration, PostgreSQL, API design and operational workflows
Fair questions
Supply and commercial analytics: market segmentation, listing quality scoring, regional reporting and executive analytics for strategy and resource allocation.
Built it, managed it, and set shared Python and SQL standards so analytics work was consistent and reviewable.
It's the same instinct: get data into the decision. At Western Magnetics that meant building the system that records production itself.
Yes. I write Python and SQL, and I've built production software in TypeScript and PostgreSQL since leaving Expedia.