Data analytics, data infrastructure, and cloud engineering on AWS and Databricks. I learned how revenue works in ecommerce. Now I'm applying that to hospitality and sport, with an MBA in data analytics and hotel & casino management in progress.
I like taking a messy dataset and turning it into a plan someone can act on. I'm currently working on my MBA with a concentration in Data Analytics and a specialization in Hotel & Casino Management.
I built my career in ecommerce, from digital strategy to inventory and P&Ls. My focus now is data analytics, data infrastructure, and cloud engineering: the pipelines bringing the numbers in, aimed at sport and hospitality. I'm a sports fanatic at heart, if it's not revenue analytics, it's sports stats.
Outside of work you'll find me near the ocean with my red merle Australian Shepherd, River, my kids, anywhere that involves trails, beaches, or both.
STR-style market share readout: RevPAR index vs comp set from 119K bookings on Databricks.
End-to-end cloud pipeline: live stock data through AI analysis into a Delta Lake lakehouse.
Probabilistic CLV on 65K transactions with BG/NBD and Gamma-Gamma models.
5-year DCF from live SEC EDGAR filings through a medallion data pipeline.
Five-state reorder engine over Shopify and Square sales, built in Streamlit.
Open to contract and fractional work, project-based or retained.
Pipelines, dashboards, and forecasting models on AWS and Databricks, from raw exports to a number someone can act on.
RevPAR readouts, pace and demand forecasting, revenue analysis for hotels and resorts.
Shopify, catalog and product data, P&Ls, wholesale. Twenty years of it.
Director-level help a few days a month: the plan, the reporting, the hires.
Did I use AI to help build this website? Yes.
Could I have built it without it? Also yes.
(It just would've taken me longer. Probably would've been better, to be honest.)
I come from the days of building websites from a blank page, even ecommerce sites (anyone remember OSCommerce built off SQL database?) HTML, CSS, JavaScript, and a lot of nights spent debugging. Before any of that, I started at art school. I truly value human creativity, intuition, knowledge, collaboration, and oversight. I refuse to use AI to replace any of this.
I use AI for efficiency, not for creativity or content. The purpose is intentional and minimal. I find it good at some of the mundane, tedious work: organizing, cleanup, planning, first-pass debugging, reformatting the same dataset for the tenth time. It can make the coding process more efficient than continuous copying/pasting (IYKYK). Handing that off leaves more room for the parts that actually matter, strategy and creative thinking.
The ideas, writing, and analysis on this site are mine. Human first, always.
and on that note, I vow to never respond to your emails with an automated AI response.
The International Association for Safe and Ethical AI is a global, membership-based nonprofit. Its mission is to ensure AI systems operate safely and ethically and benefit all of humanity, connecting experts across academia, policy, civil society, and industry to advance research, shape policy, and build public understanding.
Taking on contract and fractional work in data, hospitality, sport, and ecommerce. Send a note about what you're building.