Data Analyst · MBA · AI Builder · Former D3 Collegiate Golfer
I bridge the gap between complex data and the people who need to act on it.
I'm Evan — a data analyst who spent four years earning both a B.S. in Analytics and an MBA at Guilford College while competing on the golf team. I've learned that the most important skill isn't building the model — it's making the insights impossible to ignore.
After graduating, I've kept building. I spent time caddying on the professional golf circuit, sharpening my ability to perform under pressure, read complex situations in real time, and communicate clearly when the stakes are high. I've also been building AI-powered software tools — from booking automation platforms to data intelligence dashboards — applying the same analytical rigor I developed in the classroom to real business problems.
Whether I'm presenting findings to a Board of Trustees, designing a data pipeline, or translating technical architecture for a non-technical stakeholder, my goal is always the same: make the data useful.
MBA + B.S. Analytics
Guilford College
GPA: 3.84 · Dean's List
D3 Collegiate Golfer
PING All-American
All-ODAC First Team
AI-powered SaaS tools
Booking automation
Business intelligence
Summerfield, NC
Open to remote &
hybrid opportunities
From querying databases to building AI-powered applications — here's what I bring to the table.
Real analyses, real tools, real outcomes. Each project demonstrates a core skill area.
Designed and implemented an end-to-end data pipeline that ingests raw supplier data, normalizes it using relational database principles, and surfaces pricing anomalies and design component trends. Built scalable spreadsheet architecture ready for seamless database migration.
Built a live data monitoring system for sports performance metrics, tracking real-time accuracy across multiple sports simultaneously. Developed statistical models to validate pricing inputs and flag anomalies, directly influencing market-making decisions.
Analyzed multi-year admissions and enrollment data to identify breakdown points in the recruitment funnel. Built interactive Tableau dashboards and SQL-driven reports for the Board of Trustees. Recommendations led to strategic recruitment changes adopted institution-wide.
Designed and launched a multi-tenant SaaS platform for service businesses, featuring an AI-driven SMS booking agent, automated scheduling, Stripe payment integration, and per-client white-label branding. Deployed to production with live clients across multiple verticals.
Developed a personal analytics system used on-course during professional tournament caddying. Tracked course conditions, shot dispersion patterns, wind adjustments, and historical scoring data to inform in-round strategic decisions. Combined real-world domain expertise with data-driven methodology.
Built a reusable, parameterized executive dashboard template connecting to live SQL data sources. Designed for non-technical decision-makers, featuring one-click drill-down, automated weekly email reports, and plain-language narrative summaries alongside the visualizations.
Providing specialized domain expertise to evaluate and improve the reasoning, accuracy, and output quality of foundation models for top-tier AI labs. Operating under strict non-disclosure agreements (NDA) while contributing to the training pipelines and advanced capabilities of next-generation LLMs.
Interacted with external counterparties and stakeholders to gather requirements, translating needs into scalable API integrations. Architected automated payment processing pipelines (Stripe/API) using Python and PostgreSQL, monitoring cash flows to ensure obligations were met. Designed BI dashboards and SQL queries, participating in process improvement initiatives to mitigate operational risk.
On-course strategic partner for a professional golfer, acting as a team player to synthesize real-time variables and mitigate operational and environmental risk under immense pressure. Developed analytical frameworks using historical scoring data and course mapping to adhere to strict time constraints.
Collaborated with internal partners and stakeholders to gather and document business requirements. Designed ETL data integration and Python automation pipelines, utilizing SQL to validate data and reduce manual processing time by ~70%. Prototyped Tableau reports and built scalable Excel models (pivot tables, filters, formulas), identifying and resolving data discrepancies prior to Data Warehouse migration.
Operated in a fast-paced, dynamic environment, utilizing Excel to monitor and perform validation on live data pipelines, ensuring the accuracy and integrity of metrics. Investigated and resolved data breaks, discrepancies, and unmatched inputs promptly via SQL data extraction to mitigate risk. Communicated professionally with cross-functional teams to resolve complex data issues rapidly.
Extracted and analyzed multi-year enrollment data using advanced SQL queries, identifying process inefficiencies and supporting control enhancements. Designed and prototyped BI reports (Tableau, Power BI) to test data models and visualize funnel trends. Communicated findings professionally to senior leadership, interacting closely with stakeholders to validate assumptions and resolve discrepancies.
I'm actively seeking a Data Analyst role where I can make data useful for both technical teams and executive stakeholders. Let's connect.