COG, Economic Development Department

I conducted a comprehensive analysis focused on identifying food deserts within Garland. This involved the collection, mapping, and visualization of pertinent data such as poverty rates, grocery store service areas, median household income, poverty levels, and vehicle ownership. Utilizing a weighted sum approach aligned with the USDA's food desert definition, I identified areas to address in the city. For data visualization and project presentation, I developed a Story Map.

(Ongoing, not completed)

I updated various databases for economic development analysis, which included housing, income, demographic, and workforce databases. I created Dallas Central Appraisal District (DCAD) databases spanning prior years to the present, ensuring compliance with Economic Development Department (EDD) requirements for research and analysis. I used different spatial analysis tools such as Hotspot Analysis, to depict high and low value areas, and identify outliers in the data. 

I corresponded with the Secretary of State office, to obtain a list of certified businesses and subsequently conducted geocoding for Garland City businesses. This effort led to a comprehensive database for the Chamber of Commerce, with relevant variables for qualitative and quantitative analysis. These variables encompass improvement values, sales revenue, employee size, proximity to major roads, and education attainment.

Comparative Study of Data Center Incentives

In support of our GIS planning efforts, I undertook an in-depth examination of economic incentives offered to data centers. This study encompassed an analysis of various aspects, including phase development, incentive rebates, upfront cash incentives, sales tax considerations, utility programs and payments, performance requirements, multi-use requirements, employee criteria, and engagement with local initiatives or school districts. The resulting summary provided valuable insights and benchmarks for assessing data center investments, factoring in acreage, building square footage, and capital investments.

DSH Payments Research

In the context of planning for Garland's medical district, I conducted research into federal policies related to Disproportionate Share Hospital (DSH) payments in Texas. This analysis aimed to inform our strategic decisions and funding considerations for healthcare infrastructure development.

Environmental Impact Fee & Remediation Study

the development of an impact fee framework to address environmental impacts within Garland. This encompassed considerations related to open-air recycling, automotive use, and the development of businesses on non-improved surfaces, where land might require post-use remediation. This study aimed to promote sustainable growth and responsible land use planning.

Comparative Study of Data Center Incentives

In support of our GIS planning efforts, I undertook an in-depth examination of economic incentives offered to data centers. This study encompassed an analysis of various aspects, including phase development, incentive rebates, upfront cash incentives, sales tax considerations, utility programs and payments, performance requirements, multi-use requirements, employee criteria, and engagement with local initiatives or school districts. The resulting summary provided valuable insights and benchmarks for assessing data center investments, factoring in acreage, building square footage, and capital investments.

DSH Payments Research

In the context of planning for Garland's medical district, I conducted research into federal policies related to Disproportionate Share Hospital (DSH) payments in Texas. This analysis aimed to inform our strategic decisions and funding considerations for healthcare infrastructure development.

Environmental Impact Fee & Remediation Study

the development of an impact fee framework to address environmental impacts within Garland. This encompassed considerations related to open-air recycling, automotive use, and the development of businesses on non-improved surfaces, where land might require post-use remediation. This study aimed to promote sustainable growth and responsible land use planning.