Kirthi
Balakrishnan.

Financial models, spatial tools, and govtech for housing, transit, and public investment.

• Facilitated two cross-sector expert committees for a big-city mayoral transition and turned their input into prioritized infrastructure recommendations for city leadership.
• Modeled comparative site feasibility for city-owned TOD sites along a bus-rapid-transit corridor: land-use, market, and financial data rolled into a GIS scoring framework for prioritization.
• Built a govtech service-delivery platform for a public-sector client: identity authentication, an admin console, and government-to-constituent email, engineered to meet public-sector security requirements.
• Modeled municipal fees, taxes, and cost drivers for a cost-of-development study, quantifying per-unit housing costs across development typologies.
• Benchmarked housing programs for a county master-leasing program and a corporate-ownership study, turning cost, performance, and equity comparisons into policy recommendations.
• Rebuilt the team's public-input analysis pipeline: 8,000+ survey responses wired live to ArcGIS over its REST API. Now the team standard.

• Ran demographic, land-use, and transit-access analysis for multi-block development sites, informing site selection and investment decisions.
• Built data-driven public-engagement tools for a town plan that lifted civic participation 80%.

• Processed 9.5 million rows of migration and demographic data and built geospatial visualizations translating the findings for policy and public audiences.
• Engineered a computer-vision pipeline over 1M+ historical street images with the University of Michigan; findings presented at an international urban-affairs conference.