Danielle is a seasoned Senior Analyst passionate about urban planning and policy analysis. Trained as an urban planner and economist, Danielle uses her analytic expertise in all her projects. With her deep understanding of the urban planning and development landscape, her expertise in data analysis allows her to effectively analyze complex datasets and develop insights to support policy, planning, and development initiatives.

In her current role at Karp Strategies, Danielle leads data analysis, quantitative and qualitative analysis, and research. Her ability to use data to drive decision-making, combined with her proficiency in Python and GIS, has allowed her to make significant contributions to a wide range of projects and initiatives. She is known for her strong problem-solving skills and ability to design and execute complex data analysis projects, including working with large datasets, spatial analysis, and predictive modeling. Danielle holds a Master's degree in Urban Planning from Columbia University GSAPP, with a concentration in Urban Analytics, and a B.A. in Applied Mathematics and Economics from Claremont McKenna College. In her free time, she enjoys biking, going on hikes, and playing soccer.