Applying data science to the decisions that matter — where to build, how to price, who to target, and what it's all worth.
// About
I'm a Senior Revenue Analyst with a decade of experience turning complex data into decisions that leadership can act on. My work sits at the intersection of applied statistics, spatial science, and business strategy.
I specialize in site selection — building models that predict revenue potential before a single shovel hits the ground. I also own pricing and promotion analytics, customer segmentation, and financial performance reporting for executive audiences.
The goal is always the same: reduce uncertainty, sharpen the story, and make the right call easier.
Trade area modeling, cannibalization analysis, greenfield scoring
Elasticity models, lift measurement, competitive response analysis
GIS, spatial regression, drive-time analysis, demographic mapping
Segmentation, LTV modeling, behavioral cohorts, churn prediction
// Expertise
From raw query to boardroom slide — analytics, modeling, spatial science, and the communication that makes it land.
Tools & Technologies
// Projects
A selection of analyses, models, and tools — each one built to answer a real business question.
Gradient-boosted model predicting first-year revenue for candidate locations. Inputs: drive-time trade areas, competitor proximity, demographic clusters, traffic counts. Deployed to an interactive executive dashboard.
▶ +18% accuracy vs. prior heuristic model
Category-level own- and cross-price elasticity models across 300+ SKUs. Used to simulate margin impact of promotional scenarios before execution. Presented quarterly to VP of Merchandising.
▶ 3 major promotions re-structured, +$2M margin recaptured
RFM + ML segmentation model identifying high-value, at-risk, and lapsed customer cohorts. Outputs feed CRM targeting for personalized retention campaigns.
▶ 12% improvement in retention campaign ROI
Gravity-based spatial model quantifying revenue transfer between existing and proposed locations. Used to refine network expansion plans and reduce overlap risk.
▶ Informed 8 go/no-go site decisions
Weekly automated reporting package for C-suite: comp sales, traffic trends, margin by segment, and forecast vs. actuals. Built for speed — updates in under 60 seconds.
▶ Used by CEO, CFO, and 6 VPs weekly
Quasi-experimental pipeline measuring incremental unit and revenue lift for promotional events. Uses synthetic control and difference-in-differences methods.
▶ Monthly cadence across 40+ promos/yr
// Recent Writing
// Contact
Interested in analytics consulting, speaking about applied data science, or just want to connect? Send a message below.