● Collaborate with multidisciplinary teams of transportation planners, engineers, and data scientists to provide data-driven planning solutions for TxDOT, cities and regional MPOs across 10+ infrastructure projects. ● Collected, cleaned, and analyzed large-scale datasets (OD, census, crash) over 10+ projects. Automated mapping workflows using Python and ArcGIS ModelBuilder to reduce processing time by over 50%. ● Led the development of digital deliverables including 5 online databases, 7 web applications, and 8 dashboards (e.g. Stakeholder comment mapping tool, OD flow dashboard, digital storybooks). Presented findings to clients and improved satisfaction with 50+ stakeholders. ● Prepared 6 technical memos and 4 project proposals, with a focus on methodologies and analysis results.

● Built a GIS-based planning tool to identify optimal locations for Mobility Hubs across Florida, integrating transit access, first-/last-mile connectivity, and socioeconomic equity indicators. ● Designed and implemented a weighted multi-criteria scoring model to rank candidate locations. Conducted 3 scenario-based simulations to refine hub placement under different planning priorities. ● Developed a Story Map on ArcGIS Online and prepared technical reports to present project details. Integrated GIS tools and Python scripts with download options, earning 99% positive feedback from FDOT. ● Presented the findings on TRB Conference and Webinar, reaching 500+ transportation professionals.

● Processed 100+ GB of bus GPS data using Python and SQL, building 30+ KPI tables for service reliability. ● Created interactive dashboards with Power BI to help the Miami Transit Agency monitor real-time bus reliability, identify underperforming routes, and support data-driven decisions. ● Mentored a team of 4 junior analysts on GPS data exploration and visualization techniques.

● Developed a geospatial toolbox to support the siting of charging stations across Florida, combining real-time GPS data, energy consumption modeling, and spatial planning methods. ● Applied 4 scenario-based planning methods with Python & GIS to identify charging station locations. ● Achieved 95% service coverage in the optimized solution. Model is adopted by the City of Gainesville now.

● Conducted network-based analysis in ArcGIS Pro to identify multimodal accessibility to COVID-19 test sites. ● Performed statistical modeling in Python and R to examine relationships between spatial accessibility and socioeconomic variables in NYC. ● Designed a 4-page Power BI dashboard, featuring time-series trends and interactive maps tailored to non-technical NYC health officials.