Summary
Paul Consalvo is an Engineer in Training with nine years of experience applying data-driven methods to civil, transportation, and agricultural engineering problems. Based in Boise, Idaho, he specializes in large dataset analysis to design safer, more efficient, and sustainable infrastructure, often leveraging Python and GIS workflows developed during university research and internships. His background includes transportation analysis at Kittelson, data engineering with Utah Department of Transportation, and hands-on water-usage research where he operated data loggers and authored proposals and papers. Paul brings a practical blend of fieldwork and scripting expertise—iterative ArcGIS processing of GPS and e-bike datasets is a recurring strength—paired with a passion for turning underused data into actionable insights. He is eager to expand his impact in sustainable development and infrastructure planning through continued learning and cross-disciplinary projects.
9 years of coding experience
4 years of employment as a software developer
Civil Engineering, Civil Engineering at Utah State University