Bachelor of Science in Information
Major: Information Analysis
Minor: Human-Centered Artificial Intelligence
Data Analysis, ML, APIs, and Practical AI Systems
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.
My work spans statistical analysis of NCAA sports data, deploying production voice assistants for real businesses, and modeling financial markets with machine learning. I care about clean data, clear communication, and systems that actually work.
When I’m not writing Python or SQL, I’m exploring how AI can be applied practically—in supply chains, customer service, and decision-making. I’m always looking for the next hard problem to solve with data.
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.
Michigan Data Science Team
Data Analyst
Jan 2026 – Present · Ann Arbor, MI
- Built machine learning models to predict heart failure patient survival using a real clinical dataset (299 patients).
- Conducted exploratory data analysis, statistical testing, and unsupervised learning to identify patterns and risk factors.
- Evaluated multiple ML classifiers and applied SHAP-based feature importance to interpret key clinical variables.
- Supported data-driven clinical decision-making through clear analysis and communication.
Michigan AI Business Group
Engineering Analyst
Sept 2025 – Present · Ann Arbor, MI
Clients: Sigma International, Cherry Republic
- Contributing to the design and testing of an AI-driven anomaly detection system for automotive supply chain data, targeting cost impacts from late EDI order changes.
- Supporting data analysis, feature definition, and prototype evaluation in collaboration with engineers and project leads.
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
Databases
APIs & Data Engineering
Tools
Methods
Projects
Featured work and case studies.
