INITIALIZING...
GIS & DATA SCIENTIST
"Turning Location Data into Actionable Intelligence"
I transform complex geospatial data into clear, impactful solutions. From building cost-efficient cloud pipelines to developing ML models and interactive dashboards, I help organizations make smarter, data-driven decisions. Currently exploring new challenges across GIS, data engineering, analytics, and machine learning.
Identified wildlife–vehicle collision hotspots using kernel-density and penalized regression. Analyzed 1,000+ collision records with traffic, land cover, and environmental data. Impact: Planner-ready mitigation layers delivered to 3 counties.
Deployed Lambda+S3 GTFS-RT pipeline ($4/month) with 30-day history for service and on-time performance analysis. Unified GTFS static/RT/Flex with automated QA.
Created interactive ArcGIS StoryMap showcasing transit network analysis and service patterns. Visualized route performance, ridership trends, and accessibility metrics.
Designed zone-based microtransit service areas using demand analysis, travel-time modeling, and service constraints. Optimized zone boundaries for efficiency.
CatBoost model achieved 88.3% accuracy predicting cancellations. Used feature importance and partial dependence to explain impact of lead time, ADR, and past cancellations.
Unified crashes, traffic counts, and environmental data into geodatabase. Computed segment-level features and composite risk score to prioritize top 5% segments.
Classified toxic content at scale using classical NLP (TF–IDF + linear models) and deep learning. Preprocessed 1M tweets with class imbalance handling and confusion-matrix analysis.
