// Data Analysis, ML, APIs, and Practical AI Systems
Bachelor of Science in Information
Major: Information Analysis
Minor: Human-Centered Artificial Intelligence
About
I’m a data-focused student at the University of Michigan School of Information, specializing in Information Analysis with a minor in Human-Centered Artificial Intelligence. I build pipelines, analyze datasets, and ship AI-powered tools that solve real problems.
This past summer I worked on the Enterprise AI team at McKinstry, a national construction and energy services firm, building internal tools on the Claude API and deploying them to Azure. Before that I shipped a production voice assistant for a specialty retailer and an EDI monitoring system for an automotive supplier.
I also run Huddleston AI, a small consulting practice where I find the workflow a business wastes the most time on and automate it. Across all of it I care about clean data, clear communication, and systems that hold up once real people depend on them.
Outside of data science, I’m a big football fan, especially college football and the NFL. You can always catch me watching a Seahawks game! Go hawks and go blue!
Education
University of Michigan School of Information
Relevant Coursework
Experience
Where I've applied data analysis and AI.
McKinstry
AI Intern, Enterprise AI Team
May 2026 – Aug 2026 · Seattle, WA
- Built an AI-powered change order narrative and estimation tool for construction project managers using Python and the Anthropic Claude API, taking a process that ran about two days down to under an hour. Piloted with 5 project managers.
- Deployed internal AI applications to Microsoft Azure on Function Apps with Cosmos DB and PostgreSQL backends, establishing the deployment patterns for the company's enterprise AI initiative.
- Ran McKinstry's first internal AI hackathon with 30 participants, and trained employees across construction, engineering, and IT on using Claude Code in the terminal and in VS Code.
- Mapped company-wide SaaS data systems including Salesforce, Viewpoint, and Pacific Timesheets into a Microsoft Fabric ingestion plan.
Michigan Data Science Team
Data Analyst
Jan 2026 – May 2026 · Ann Arbor, MI
- Completed the team's data science onboarding track, then joined the Winter 2026 clinical modeling project.
- Worked a nine-week research cycle on a real patient dataset, from exploratory analysis and statistical testing through to a final evaluated model.
Michigan AI Business Group
Project Manager / Engineering Analyst
Sept 2025 – Apr 2026 · Ann Arbor, MI
Clients: Sigma International, Cherry Republic
- Led an EDI release monitoring system for an automotive supplier, comparing incoming order schedules against committed quantities to catch late changes inside the lead-time window. Projected to cut expedited air freight costs by 20 to 30% annually.
- Built Tableau and Power BI dashboards over thousands of EDI transactions to surface change frequency, cost impact, and operational risk.
- Developed an automated Python notification system targeting sub-5-minute alert delivery on high-risk order changes.
GamePoint Capital
Data Analyst
May 2025 – Sept 2025 · Remote
- Manually collected, cleaned, and structured NCAA sports data from multiple sources to support predictive analysis.
- Analyzed performance trends across 350+ teams and 15+ sports using historical metrics and standardized datasets.
Terra Health Essentials
Research Intern
June 2023 – Aug 2023 · Seattle, WA
- Analyzed and synthesized findings from 15+ peer-reviewed clinical studies, extracting quantitative and qualitative evidence to support product research.
- Structured research outputs into comparative summaries used to inform internal decision-making across 10+ supplement products.
Skills
Tools and technologies I work with.
Languages
Data & ML
AI Engineering
Cloud & Deployment
Data Engineering
Web & Visualization
Projects
Featured work and case studies.
