Ajjit Narayanan
About Ajjit Narayanan
Ajjit Narayanan is a Data Science Analyst at The Urban Institute, where he has worked since 2019. He has previous experience as a data science intern at Azavea and The Urban Institute, and he also served as a teaching assistant at the University of Pennsylvania.
Work at Urban Institute
Ajjit Narayanan has been employed at The Urban Institute as a Data Science Analyst since 2019. In this role, he applies data analysis techniques to inform public policy decisions. Prior to this position, he served as a Data Science Intern at the same organization in 2018 for three months. His work at The Urban Institute focuses on utilizing data to address social and economic issues.
Experience at Azavea
Ajjit Narayanan worked as a Data Science Intern at Azavea for five months in Philadelphia, PA, from 2017 to 2018. During this internship, he gained practical experience in data analysis and contributed to projects that support civic engagement and community development through data-driven insights.
Internship at Autodesk
In 2017, Ajjit Narayanan completed a three-month internship as a Machine Learning Intern at Autodesk in the San Francisco Bay Area. This role involved applying machine learning techniques to enhance product offerings and improve user experiences within the company.
Teaching Assistant at University of Pennsylvania
Since 2018, Ajjit Narayanan has served as a Teaching Assistant for the Probability Models in Marketing course at the University of Pennsylvania. In this capacity, he supports faculty and assists students in understanding complex statistical concepts applied to marketing strategies.
Education and Academic Background
Ajjit Narayanan studied at the University of Pennsylvania, where he focused on Urban Studies and Economics. His academic background provides a foundation for his work in data science, particularly in analyzing urban and economic issues.
Internship at The Wharton School
Ajjit Narayanan interned at The Wharton School as an MBA Admissions Data Science Intern for three months in 2016. This role involved analyzing data related to MBA admissions processes, contributing to the optimization of recruitment strategies.