Portfolio

Developed and presented the September 2026 Northwest Georgia Job Postings Update for the iWORKS Advisory Board. I analyzed regional job-posting data, compared findings with the March 2026 update, identified longer-term workforce trends, and translated the results into a concise stakeholder presentation. The analysis focused on manufacturing and transportation demand, advertised salaries, employer activity, occupational concentration, workforce qualifications, and housing affordability.

This project collection explores how computational methods can reveal relationships between public perception, human behavior, and urban environments.

The primary case study, completed with a three-person team and recognized as a top project in the course, examined whether positive sentiment toward Atlanta parks is associated with greater visitation to nearby businesses and other points of interest. We combined park boundaries, mobility-based POI visitation data, Google Maps reviews, Census indicators, transportation access, built-environment characteristics, and seasonal observations to study how perceptions of public space may relate to surrounding urban activity.

The project progressed from spatial sampling and web-based review collection to NLP sentiment classification and multivariate statistical modeling. The final R workflow used negative binomial regression, model comparison, seasonal analysis, and industry-specific models while controlling for factors including Walk Score, transit access, crime, street-network characteristics, household income, population and job density, poverty, demographics, and park size.

A second independent case study applies R-based text and sentiment analysis to online discourse about women serving in the U.S. military, demonstrating how similar computational methods can be applied to broader social and policy questions.

This individual Public Health Analytics project examined whether proximity to Georgia’s major commercial airports is associated with elevated respiratory and cardiovascular health risk and whether those health outcomes exhibit significant spatial clustering.

I assembled census-tract data from CDC PLACES, the American Community Survey, FAA airport datasets, and U.S. Census TIGER/Line boundaries, then integrated the datasets for spatial analysis across Georgia. The analysis focused on Hartsfield-Jackson Atlanta International Airport, Savannah/Hilton Head International Airport, and Augusta Regional Airport and used five-mile airport exposure zones to explore potential relationships between aviation activity and surrounding community health.

The project combined ArcGIS Pro mapping, principal component analysis, GeoDa spatial statistics, Moran’s I and LISA cluster analysis, and regression modeling. Results showed significant spatial clustering in both asthma and cardiovascular health outcomes, but the geographic patterns differed. Asthma hotspots showed notable relationships with major-airport areas, while cardiovascular deprivation was more strongly concentrated across rural and southern Georgia, suggesting broader socioeconomic health disparities.

Regression analysis found that census tracts within five miles of a major airport had, on average, approximately 0.75 percentage points higher asthma prevalence. The relationship was statistically significant, although airport proximity alone explained less than 1% of overall asthma variation, highlighting the importance of broader social, environmental, and health-access factors.

Developed as part of Georgia Tech’s interdisciplinary Smart Cities Workshop, this team project explored how a digital twin could support operational resilience at Hartsfield-Jackson Atlanta International Airport. The framework combined high-frequency flight data, agent-based modeling, disruption scenarios, and operational KPIs to examine how passenger flows, congestion, equipment failures, and schedule disruptions propagate through the airport system.

This was my first Nexus-style collaboration bridging City Planning and Aerospace Engineering and introduced me to systems thinking, digital twins, and engineering simulation in a real transportation context. My individual contributions included literature review on agent-based modeling and airport resilience, case study and problem formulation, ATL flight-data collection and cleaning, findings synthesis, and interpretation of simulation results.

This project began as a neighborhood case study for Georgia Tech’s Community Dynamics & Engagement course. The assignment called for researching a community and speaking directly with local stakeholders to understand the institutions, relationships, practices, and contemporary issues shaping neighborhood life.

I chose Highland Falls, New York, a small Hudson Valley village whose identity and development are closely intertwined with neighboring West Point. Rather than presenting the research as a conventional report, I transformed the case study into an illustrated walking tour in which a fictional guide introduces the viewer to the community through local history, institutions, public spaces, planning documents, everyday practices, and conversations with real community stakeholders.

The project combined secondary research, comprehensive-plan review, community observation, and stakeholder interviews to examine themes including historic identity, military-community relationships, downtown revitalization, zoning and development, flooding and infrastructure, informal community networks, and the tension between growth and preservation.

The final 22-slide narrative was created in Canva as a complete visual story rather than a traditional presentation. The project went substantially beyond the original assignment requirements and was later shown to subsequent classes as an example of a creative approach to neighborhood research and planning communication.

As a Graduate Research Assistant with Georgia Tech’s Center for Economic Development Research (CEDR), I have contributed to applied planning, GIS, economic-development, housing, workforce, and community-research projects across Georgia.

This collection highlights selected smaller projects that demonstrate the range of my work beyond my larger standalone case studies. My contributions have included GIS and spatial analysis, database development and data cleaning, demographic and housing analysis, previous-plan review, stakeholder and survey research, ecosystem and best-practice analysis, data visualization, report development, and presentation materials for community and regional partners.

Over time, my role at CEDR progressed from research and GIS support into increasingly independent analysis, interpretation, and communication. These projects reflect that progression and show how I translate complex datasets, plans, and stakeholder information into clear findings that can support planning and economic-development decisions.

As a Graduate Research Assistant with Georgia Tech’s Center for Economic Development Research (CEDR), I contributed substantially to a comprehensive economic-development study for Liberty County, Georgia.

My work included demographic and socioeconomic research, peer-community benchmarking, GIS mapping, data visualization, industry and workforce analysis, and written interpretation. I developed the majority of the project’s maps, completed the industry-analysis section using Lightcast, supported the selection and evaluation of peer communities, and contributed to report conclusions and recommendations.

The project examined Liberty County’s population, workforce, industry structure, development conditions, and competitive position to identify opportunities for future economic growth. My role expanded beyond individual data tasks into larger sections of the final report, combining quantitative analysis with spatial context and strategic planning recommendations.

As a Graduate Research Assistant with Georgia Tech’s Center for Economic Development Research (CEDR), I contributed to Georgia AIM, a multiyear statewide initiative focused on artificial intelligence adoption, workforce readiness, regional economic development, infrastructure, and community capacity across Georgia.

My role combined GIS, R programming, economic and workforce research, data validation, interactive visualization, regional analysis, and technical communication. I supported regional profiles, AI101 training and outreach, stakeholder research, workforce and education analysis, statewide mapping, and the development and validation of data used in public-facing Georgia AIM products.

A major component of my work involved translating complex datasets and policy criteria into usable spatial tools. I calculated and validated county-level EDA economic-distress investment levels and combined them with persistent-poverty and rural-status indicators for statewide analysis. This work helped support the economic-distress data presented through Georgia AIM’s public mapping and planning materials.

I also developed interactive R/Leaflet tools for regional vacancy analysis. An initial Census-tract vacancy explorer created for the River Valley region generated enough interest that the workflow was adapted for another regional commission, demonstrating how reusable open-source mapping tools can support regional economic-development decision making.

Across Georgia AIM, my work focused on making statewide and regional data easier to interpret, communicate, and apply — from federal economic-distress criteria and workforce pipelines to AI training activity and interactive GIS applications!

As a Graduate Research Assistant with Georgia Tech’s Center for Economic Development Research (CEDR), I independently developed the community-profile and comparative analysis components of an ongoing economic and housing study for the City of Chamblee.

Working from the project scope and a set of peer communities selected by the project manager, I independently determined the indicators needed to tell Chamblee’s story, researched and validated data sources, pulled and organized the data, performed the analysis, created the charts and visualizations, and developed the written takeaways and presentation narrative.

The analysis spans population and demographic change, income, housing tenure and affordability, commuting, workforce characteristics, education, housing supply, vacancy, and other community conditions. I used sources including Census/ACS data, Census OnTheMap, regional population forecasts, housing datasets, and other planning and economic-development resources to compare Chamblee with DeKalb County, the Atlanta region, Georgia, and selected peer cities.

A major focus of my work was moving beyond individual statistics to identify the relationships between them, particularly Chamblee’s role as a major employment center, its substantial commuter inflow, its renter-oriented housing market, and the implications these patterns have for housing, transportation, workforce access, and redevelopment. I also supported the broader project team by validating workforce and economic-analysis data prepared by other analysts.

As a Graduate Research Assistant with Georgia Tech’s Center for Economic Development Research (CEDR), I served as a primary GIS and analytical contributor to the City of Clarkston Downtown Development Authority Strategic Plan.

Clarkston had limited and outdated GIS information available for the project, so I helped build the spatial foundation needed for the study. I created and updated parcel-level datasets for zoning, existing land use, business type, points of interest, and other downtown conditions; incorporated Census, commercial-market, and local planning data; and produced publication-ready maps for the strategic plan.

I also designed the project’s windshield-survey workflow and ArcGIS Field Maps system used by the team for on-site data collection. I configured conditional visualization and field logic, helped complete field observations, and used recent imagery and secondary research to fill remaining data gaps. The completed GIS layers were packaged and delivered back to the City of Clarkston for future municipal use.

Beyond GIS, I contributed demographic analysis, business-survey interpretation, retail and market analysis, stakeholder interview synthesis, charts, written takeaways, and community-engagement research. The project combined spatial data creation, fieldwork, market research, and stakeholder input to support recommendations around placemaking, small-business support, housing, and relationship building.

The 2026 Tokyo Smart City Studio was a selective, six-credit international studio bringing together Georgia Tech city-planning and architecture students with collaborators in Japan to develop data-driven strategies for Bancho, a historic neighborhood in central Tokyo. I served as a GIS contributor across the studio and as a member of the Bancho's Active Spine development team, producing spatial datasets and analysis, translating Japanese-source information, and preparing geospatial inputs that supported architecture and Rhino-based design workflows.

During the final week of the studio, Professor Perry Yang independently tasked me with developing an integrated digital-twin prototype for the project. Because ArcGIS Urban did not provide the same ready-made data infrastructure available for U.S. locations, I built the Bancho environment through custom GIS data preparation and integration, bringing together terrain and elevation, existing building and land-use conditions, planning analysis, team design proposals, performance indicators, and the studio's community-engagement tools into a shared ArcGIS Urban environment and dashboard. The core model and dashboard were assembled independently in approximately five days.

GIS Lead • Digital Twin Developer • ArcGIS Urban • Data Integration • Spatial Analysis • GIS-to-Rhino Support

ECLIPSE is a collaborative digital engineering ecosystem developed by a Georgia Tech Systems of Systems Grand Challenge team to support lunar-base architecting from mission requirements through spatial planning, simulation, verification, and 3D visualization. As Workflow Integrator and the team’s GIS/urban-planning and visualization contributor, I developed the spatial decision layer that translated real lunar terrain and environmental constraints into site-selection and infrastructure-placement outputs for downstream engineering analysis.

The year-long project was developed within the LUNAverse Grand Collaboration environment and involved technical engagement with Georgia Tech ASDL, NASA, The Aerospace Corporation, NVIDIA, Studio 52, and the Open Solar System Foundation ecosystem. The team’s work was reviewed with external advisors including NASA’s Robert Mueller and The Aerospace Corporation’s Dennis Paul, and the resulting research paper was accepted for presentation at AIAA SciTech 2027. ECLIPSE continues to serve as a foundation for subsequent student development and research.

Urban2Orbit is an ongoing research initiative applying GIS, spatial analytics, urban planning, and 3D design to future lunar settlements. Using ArcGIS Pro and NASA/LRO lunar datasets, I analyzed slope, illumination, elevation, PSR proximity, and expandable terrain across nine South Pole candidate regions using a multi-criteria suitability framework. I then translated the results into a 5 km × 5 km infrastructure concept at Malapert Massif, using Rhino 8 and Python to explore placement of habitation, power, communications, landing operations, logistics, and ISRU systems. The work connects geospatial analysis with urban planning and digital-engineering workflows.