Building production analytics platforms, GIS dashboards, and machine learning workflows that turn complex transportation data into decisions for regional planning. Principal Data Analyst at the Atlanta Regional Commission, MS Analytics — Georgia Tech.
I'm a transportation data scientist and GIS analytics leader with 8+ years of experience building enterprise data platforms, spatial analytics workflows, and decision-support systems across transit operations and regional planning.
At the Atlanta Regional Commission, I serve as Principal Data Analyst — leading enterprise analytics for a 21-county metropolitan region and serving as ARC's primary emissions modeler using the EPA MOVES model. My work spans Activity-Based Model modernization, traffic-volume forecasting, large-scale ETL, and full-stack analytics platforms used by regional transportation planners.
My flagship project, ABMVIZ, is a production dashboard that transforms millions of Activity-Based Model records across six forecast horizon years into 13 interactive visualization modules — publicly deployed and accessible to transportation planners.
Prior to ARC, I delivered operational analytics and transit BI solutions at HNTB and MARTA, supporting transit operations, asset management, and service reliability across Atlanta's transit network.
I hold a Master of Science in Analytics from Georgia Institute of Technology and a Master of Urban Planning from Texas A&M University, where I received the APA Outstanding Student Award. I'm based in Marietta, GA and open to Atlanta-based and remote opportunities.
Georgia Tech's Master of Science in Analytics (OMS Analytics) is an interdisciplinary analytics degree jointly offered by the College of Computing, College of Engineering, and Scheller College of Business.
The program covers machine learning and AI, statistical modeling, data storage and pipelining, data visualization, optimization and simulation, and business analytics — spanning 36 credit hours across a rigorous interdisciplinary curriculum.
My Applied Analytics Practicum (ISYE 6748) was completed at the Atlanta Regional Commission, producing the ABMVIZ dashboard — a production analytics platform used by ARC's transportation planning division.
Completing this degree while working full-time as Principal Data Analyst at ARC required applying coursework directly to real transportation planning problems — bridging theory and production deployment in a way few purely academic programs can replicate.
I work best at the intersection of transportation domain knowledge, GIS, data engineering, and applied machine learning — especially where complex mobility datasets need to become reliable tools for planners, operators, and executives.
Production enterprise analytics dashboard transforming ARC Activity-Based Model outputs across six forecast horizon years into 13 interactive modules. Built on a 4-stage PostgreSQL ETL pipeline with hexagonal spatial normalization, 3D temporal animation, and OD desire line mapping.
View Live Dashboard →Unified six major mobility databases — LODES, CTPP, REPLICA, NexGen NHTS, Teralytics, and INRIX — into a single origin-destination analytics platform. Automated API retrieval and applied K-Means clustering on county-level desire lines to surface regional travel flow patterns.
View Live Dashboard →Multi-corridor traffic congestion analytics platform automating FHWA-aligned recurring bottleneck detection across 41 Atlanta-region corridors. Built a PostgreSQL + Python pipeline processing 427M+ annual probe records into ranked bottleneck severity and delay estimates, with an interactive Plotly dashboard and a peer-reviewable EAVHD delay methodology.
View Live Dashboard →Benchmarked SARIMA, LSTM, Random Forest, and Bayesian Hierarchical models on TAZ-level disaggregated traffic data across multiple scenario horizons. Applied scikit-learn regression to quantify variable coefficients and identify key traffic volume drivers.
View Reports →Designed and executed large-scale ETL pipelines using Docker containerization and Databricks with Apache Spark for distributed data processing. Implemented ML model training and inference workflows in a cloud-based distributed computing environment.
Download the full resume — includes all projects, publications, and competencies.
Download Resume PDFI’m interested in transportation analytics, enterprise GIS, mobility data, forecasting, and decision-support tools. If you’re working in that space, I’d be glad to stay in touch.