Data Analyst · MBA · AI Builder · Former D3 Collegiate Golfer
I bridge the gap between complex data and the humans 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.
Building and deploying AI-powered SaaS platforms for service businesses. Architecting multi-tenant booking automation with integrated payments, SMS communication, and white-label client customization. Applying analytical rigor to product decisions, pricing strategy, and business intelligence.
On-course strategic partner for a professional golfer, responsible for real-time data synthesis, course management decisions, and high-pressure communication. Developed analytical frameworks for shot selection using historical scoring data, wind models, and course mapping.
Designed and maintained data pipelines to generate actionable insights across supply chain, pricing, and design components. Built scalable spreadsheet architecture using relational database principles. Leveraged Python to automate data entry, visualization, and executive reporting.
Monitored live performance metrics across multiple sports to ensure pipeline accuracy. Managed large-scale datasets and executed QA testing to influence pricing characteristics. Collaborated cross-functionally in a fast-paced environment to make high-stakes decisions using statistical models.
Analyzed recruitment pipelines and enrollment data to identify inefficiencies in admissions. Developed Tableau dashboards and SQL queries to visualize trends. Presented findings to the Board of Trustees, leading to adopted changes in recruitment strategy across multiple departments.
I'm actively seeking a Data Analyst role where I can make data useful for both technical teams and executive stakeholders. Let's connect.