Aaron Weinstock applies advanced data science and geospatial analysis techniques to support transportation and planning initiatives. His work spans survey design, statistical modeling, and custom tool development, with a focus on translating complex data into actionable insights.
Aaron has supported agencies including the US Census Bureau, US Air Force, and multiple state departments of transportation by developing data pipelines, conducting spatial analyses, and building interactive dashboards that enable informed decision-making. He also brings five years of experience in transportation and land-use planning, where he created reproducible methods and novel metrics for projects at the local, state, and federal levels. Proficient in Python, R, SQL, and geospatial platforms, Aaron combines technical rigor with a commitment to clarity and reproducibility in data analysis.
Based in Texas, Aaron enjoys road trips, backpacking, kayaking, and cheering on his alma maters, the University of Virginia and Oregon State University.
Education
- MS, Statistics, Oregon State University
- BA, Statistics and Environmental Thought & Practice, University of Virginia