// 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
Bachelor of Science in Information · Information Analysis
Minor in Human-Centered Artificial Intelligence
GPA
3.98
Graduation
May 2028
Coursework
Academic Recognition
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, projected to take a process that ran about two days down to under an hour. Deployed behind corporate SSO with a 5-PM pilot scoped for rollout.
- 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.
- Facilitated an 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.
