Projects

Problem

Manual RFP searching required analysts to spend months reviewing thousands of government contracts to find relevant opportunities.

Solution

Built an AI-powered pipeline using Azure AI Foundry and Google AI Studio to automate data classification, web grounding, and intelligent matching of RFPs to company capabilities.

Impact

• Processing time reduced from months to hours
• Automated classification of thousands of contracts
• Deployed as a production tool at Olsson

Problem

Generating bore profiles for fiber network directional drilling required days of manual drafting, creating bottlenecks in project timelines.

Solution

Developed a fully automated desktop application in Python and C# that reads spatial data, processes elevation models, and generates production-ready bore profile drawings automatically.

Impact

• Processing time cut from days to minutes
• Eliminated manual drafting errors
• Deployed across telecom engineering team at Olsson

Problem

Complex fiber network design workflows required repetitive manual GIS operations, slowing down engineers and creating inconsistencies.

Solution

Developed a suite of custom Python geoprocessing toolboxes for ArcGIS Pro that automate routing analysis, cost estimation, and network design workflows.

Impact

• 90% reduction in manual processing steps
• Accelerated fiber network design timelines
• Improved cost estimation accuracy

Problem

Limited understanding of spatiotemporal patterns of NOx emissions from U.S. cement plants and their environmental justice implications.

Solution

Used TROPOMI satellite data to perform spatiotemporal hotspot analysis of NOx emissions, correlating emission patterns with population demographics and environmental justice indicators.

Impact

• Full MS thesis — GPA 4.00
• Remote sensing analysis of all U.S. cement plants
• Environmental justice exposure analysis for affected populations

Problem

Historical patterns of racial exclusion in Omaha real estate were undocumented spatially, making it difficult to understand the geographic scope of discriminatory practices.

Solution

Digitized historical land parcels from archival documents and aerial photography, georeferenced historical maps, and built a spatial database revealing redlining and racial covenant patterns.

Impact

• Revealed spatial patterns of racial exclusion
• Contributed to urban spatial justice research
• Accurate historical parcel database for Omaha