David Kastelman
About David Kastelman
David Kastelman is a Senior Data Scientist at Zipline, with a background in data science and analytics across various organizations, including the Consumer Financial Protection Bureau and DoorDash. He holds a Bachelor's degree from Yale University and a Master's degree from Stanford University, focusing on leveraging data science for social impact.
Work at Zipline
David Kastelman serves as a Senior Data Scientist at Zipline, a company known for its innovative logistics solutions. He has been with Zipline since 2022, contributing to projects that leverage data science to enhance operational efficiency. His role involves analyzing complex datasets to improve service delivery and ensure equitable access to logistics, aligning with the company's mission to provide critical supplies in underserved areas.
Previous Experience at Consumer Financial Protection Bureau
Before joining Zipline, David worked at the Consumer Financial Protection Bureau (CFPB) as a Director's Financial Analyst from 2013 to 2015. In this position, he was involved in financial analysis and policy development within the Washington D.C. Metro Area. His work contributed to the bureau's efforts in protecting consumers in the financial sector.
Career at DoorDash
David spent six years at DoorDash, where he held the position of Senior Data Scientist in Machine Learning from 2016 to 2022. His work focused on utilizing machine learning techniques to optimize delivery logistics and improve customer experience. This role allowed him to apply his data science skills in a fast-paced environment, contributing to the growth of the company.
Educational Background
David Kastelman holds a Bachelor of Arts degree in Economics and Cognitive Science from Yale University, where he studied from 2009 to 2013. He furthered his education at Stanford University, earning a Master's degree in Statistics from 2018 to 2020. His academic background provides a strong foundation for his work in data science and analytics.
Focus on Social Impact
David has a professional interest in leveraging data science for social impact, particularly in enhancing equitable access to logistics. He aims to apply his expertise to address social challenges and improve service delivery in underserved communities. His commitment to social equity informs his work and professional goals.