Claudio Ortega developed and refined a Trip Generation User Defined Function (UDF) for Lima in the fusedio/udfs repository, enabling scalable urban travel-demand modeling. Leveraging Python, GeoPandas, and OSMnx, he integrated OpenStreetMap data to construct transit graphs, impute travel speeds, and compute edge travel times. The UDF was designed to be fully parametric, supporting dynamic area selection, start and end hours, and trip counts for flexible scenario analysis. Claudio also addressed stability by implementing input validation and dynamic time parameters, reducing runtime errors. His work demonstrated depth in geospatial analysis, data engineering, and robust UDF development for urban planning simulation.