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David Wasserman works at the intersection of urban informatics, 3D visualization, geospatial analytics, and visual storytelling. He brings years of experience and passion to applying scientific computing, spatial analysis, and scenario-focused storytelling toward the development of effective transportation planning solutions aimed at improving communities. David joined Alta in 2020, after working for six years at Fehr & Peers advancing their analytics practice. He has experience working on multimodal transportation plans, bicycle master plans, systemic safety studies, python tool and web applications, advanced data visualizations, parking studies, direct ridership models, and station area plans. His current areas of focus are enabling data-informed scenario planning, identifying how to align community goals to metrics to track progress towards them, incorporating civic data science into projects with web-delivery and computer vision derived datasets, and generating accessibility metrics that can identify the possible benefits of projects and who they go to.