MIS student turning raw data into business intelligence. Building predictive models, crafting dashboards, and finding the story in every dataset.
A fast read on the numbers that stand out most when someone scans the page for business impact, academic strength, and measurable outcomes.
I'm an MIS student at the University of North Carolina at Charlotte with a passion for uncovering the stories hidden in data. From building predictive models that project six-figure retention value to driving million-dollar sales through performance analytics, I thrive at the intersection of business and technology.
My toolkit spans SQL, Python, SAS, Tableau, and BigQuery — but what sets me apart is translating technical findings into actionable business strategy. Whether it's a churn prediction model or a logistic regression campaign optimizer, I focus on the "so what?" that moves the needle.
Tools and technologies I use to extract, transform, analyze, and visualize data.
From driving measurable growth to managing high-stakes operations.
Self-Employed · Charlotte, NC
Parking Management Company · Charlotte, NC
Publix · Charlotte, NC
DoorDash · Charlotte, NC
Academic and personal projects where I applied analytics to solve real problems.
Built a decision tree classification model achieving 80% accuracy on 12,500 records, identifying key churn drivers. Cost-benefit analysis projected $575K in net retention value — a 101% improvement over baseline.
Built a logistic regression model on 22,000+ observations to predict organic product purchases. Cost-benefit analysis projected $968K in marketing gain — an 81% improvement in ROI over no-model baseline.
Designed and implemented a 15+ table normalized relational database for a real business. Developed ERD diagrams, business rules, and data dictionary. Led a 5-member team across four project phases.
Designed and deployed a fully segmented home network with VLANs, DHCP, and firewall rules across UniFi gear. Established 10 GbE backbone with link aggregation and integrated Proxmox hypervisors and NAS for virtualized servers and containerized applications.
Deployed and configured a local LLM on a self-hosted Linux server to process and summarize datasets using custom Python scripts. Integrated with Home Assistant via REST API for natural language-triggered automations, with all configs and prompt templates maintained in Git.
University of North Carolina at Charlotte · Expected May 2026
Marvin Ridge High School · Aug 2018 – Jun 2022
Loewenrot Gymnasium · Aug 2014 – Aug 2018
Open to data analyst roles, internships, and collaborative projects.