Seattle, WA · Open to Work
I build end-to-end geospatial pipelines: automated data ingestion, spatial feature engineering, econometric modeling, and interactive visualization. Grounded in economic theory, aimed at public-sector decisions.
Hi, i'm Ben.
Six pipelines across GIS, logistics, and economics. Real open data, real operational and policy questions.
Hedonic OLS regression across 531,000+ King County parcels quantifying how transit proximity shapes property values and housing affordability.
DBSCAN clustering pipeline on SDOT collision data identifying 303 high-injury pedestrian and cyclist clusters for infrastructure prioritization.
Random Forest classifier with SHAP explainability predicting urban heat island risk across 1,545 census tracts; urban village designation outweighs tree density as a predictor.
Elevation- and traffic-adjusted routing model built on OSMnx, SRTM, and NREL data, cutting projected fuel consumption 18.8% versus standard routing.
Prophet time-series forecasting on event-driven demand with dynamic safety stock recalculation. 31% fewer stockouts vs. static reorder model on held-out test data.
Autonomous prediction model tracking how energy pricing moves through supply chain logistics costs, using multi-source public data for freight cost-variance analysis.
Forecasting, regression, clustering, cohort analysis, A/B testing. Python (pandas, scikit-learn, statsmodels) and SQL end-to-end.
KPI dashboards, logistics modeling, route optimization, supply chain analysis. Turns operational data into actionable decisions.
Cohort analysis, funnel metrics, A/B testing, stakeholder reporting. Translates ambiguous business questions into SQL and clear recommendations.
GeoPandas, deck.gl, ArcGIS, OSMnx. Network analysis, isochrone modeling, and spatial joins for location-based decisions.
Four interactive analyses: financial flows, real estate appreciation, labor markets, and climate risk, rendered live with deck.gl and Mapbox. Scroll to navigate.
Capital movement between US metro areas, tracing inflows and outflows across major financial corridors via great-circle arc visualization.
County-level home value appreciation rendered as 3D columns. Pitch the map to 45° and read the housing boom by elevation. Click any column to see price history.
Hexagonal density heatmap of employment and wages across US metro areas; elevation shows job density, color tracks median wage.
FEMA NRI + K-Means clustering at county resolution. Five risk tiers derived from composite hazard, exposure, and community resilience scores.