Tourism intelligence analyst focused on destination reporting, lodging and web performance, stakeholder communication, and public-sector planning support across visitor-demand signals.
Automated recurring destination reporting across lodging, tax, web, campaign, airport, and visitor data, cutting turnaround 99%, saving 200+ hours annually, and improving stakeholder and council reporting.
Produced bimonthly city and council updates translating hotel, airport, website, market-research, and Tourism Economics data into planning, budgeting, and partner discussions.
Identified lodging cannibalization in council briefings, showing April-October stay length at 3.1 days versus 2.4 the prior year and YTD lodging tax improving from -6.1% to +0.2%.
Connected website, campaign, and conversion data to modeled tourism outcomes in reporting, including 10,960 added trips, 3.1-night stays, and $13.1M in visitor spending.
Re-platformed R workflows into a one-click Python app, cutting delivery time by 95% for recurring QA, reporting, and handoff support.
Built decision-tree models that expanded serial-number tracking by 10x and flagged anomalies with 98% precision for downstream review and anomaly follow-up.
Built destination knowledge retrieval with grounded answers and citations from Visit Grand Junction content for traveler discovery, onsite search, and content reuse.
