University of Florida, Hough Graduate School of Business
Master of Science in Information Systems and Operations Management, 2022
Resume · Last updated August 2026
Experience, impact, and the systems I have shipped.
Applied AI and data science professional with experience building production machine-learning systems, LLM applications, data pipelines, internal products, geospatial platforms, and automated business workflows.
$6M+operational impact
50M+product records processed
94Kcalls analyzed
9K+product variants automated
Education
University of Florida, College of Liberal Arts and Sciences
Bachelor of Science in Economics, 2021
Certifications
Certified Agile ScrumMaster
FAA commercially licensed drone pilot
PADI certified diver
Professional experience
A career built around moving complex work into dependable operating systems.
Product data, forecasting, and production infrastructure
Buyers Edge Platform
Data Scientist
Builds reliable data products and modeling workflows that make large, messy product datasets useful across the business.
- Engineered a weekly Python and SQL pipeline that cleans, standardizes, and enriches 50M+ product records into a canonical dataset for downstream tools.
- Developed a hybrid NLP, graph community-detection, clustering, and LLM workflow to refine a hierarchical category system spanning roughly 1,000 categories.
- Built a product-matching algorithm that reduced manual processing requirements and generated approximately $430,000 in labor savings.
- Designed and deployed a time-series forecasting model with turbulence and volatility metrics to identify changes in business conditions and improve forecast interpretation.
- Maintained and enhanced production Linux infrastructure supporting data-science and analytics workloads.
Operational ML, NLP, and retrieval systems
United Natural Foods, Inc. (UNFI)
Data Scientist I
Delivered decision tools and AI workflows for shrink, food safety, operating procedures, and customer feedback.
- Trained and maintained decision-tree interventions for shrink and spoilage, contributing approximately $6M in reduced product loss.
- Built an automated ETL pipeline and Databricks dashboard for model performance, operational adoption, and realized financial benefits.
- Applied NLP to approximately 5,000 customer surveys to extract sentiment, recurring themes, keywords, and actionable insights while reducing manual review requirements.
- Developed a retrieval-augmented application that made distribution-center standard operating procedures searchable through a specialized conversational interface.
- Parsed and categorized approximately 94,000 recorded calls using Whisper to identify potential food-safety concerns.
Corporate analytics and risk intelligence
Fortegra Financial Corporation
Data Scientist & Leadership Development Program Associate
Served as the primary data scientist in corporate analytics, translating operational needs into production Python and SQL tools.
- Served as the primary data scientist within corporate analytics, building Python and SQL tools for previously unsupported analytical and operational needs.
- Automated recurring workflows and developed Oracle Cloud data pipelines while maintaining integration with a multimillion-dollar machine-learning platform.
- Geocoded insured properties and analyzed hurricane and tropical-storm exposure to support risk assessment and operational decision-making.
- Developed executive-facing analyses and presented technical findings to nontechnical stakeholders.
- Built an internal ordering and metrics application at the request of the CEO, improving process efficiency and operational visibility.
Geospatial ecommerce automation
Remarkable Roads
Founder & Software Engineer
Built a customizable geospatial-art storefront and the automation that took an order to print-ready artwork without manual production work.
- Founded an Etsy-based geospatial art business that used OpenStreetMap, QGIS, and Python to generate customizable map posters across more than 9,000 product variants.
- Built an end-to-end Selenium automation workflow that ingested orders, generated print-ready artwork, submitted jobs to a print-on-demand provider, and communicated fulfillment status with minimal manual intervention.
- Developed inventory-planning logic to determine which designs should be pre-printed while maintaining a lean physical inventory.
Cross-disciplinary research support
U.S. Naval Research Laboratory
Intern
- Supported multidisciplinary teams of mechanical engineers, chemists, and biologists in a confidential research environment at Trumbo Point Naval Air Station.
Core technical profile
Range is useful when it helps ship the complete system.
AI and data
Python · SQL · Machine learning · NLP · LLM applications · RAG · Forecasting · Clustering · Graph analysis
Engineering
Next.js · React · Node.js · REST APIs · MongoDB · Linux · Git · Selenium
Platforms
Databricks · Palantir · Azure · AWS · Oracle Cloud · Power BI · Tableau
Outside of work: distance running, rock climbing, 3D printing, CAD, and mechanical prototyping.