Saba Mahdavi
About Saba Mahdavi
Saba Mahdavi is a Senior Data Analyst at Standard Cognition, where she has worked since 2021. She holds dual degrees in Religious Studies and Computational Statistics from the University of California, Davis, and has experience in various research and data analysis roles.
Work at Standard AI
Saba Mahdavi has been employed at Standard Cognition since 2021, serving as a Senior Data Analyst. In this role, she utilizes her analytical skills to support the company's initiatives in the San Francisco Bay Area. Prior to her current position, she worked as a Data Analyst at Standard Cognition from 2020 to 2021 and as a Data Implementation Specialist from 2019 to 2020. Her tenure at Standard Cognition spans three years, during which she has contributed to various data-driven projects.
Education and Expertise
Saba Mahdavi holds two degrees from the University of California, Davis. She earned a Bachelor of Arts in Religious Studies and a Bachelor of Science in Computational Statistics, both completed between 2015 and 2019. Her educational background provides a strong foundation in both qualitative and quantitative analysis, enhancing her capabilities as a data analyst.
Background
Before joining Standard Cognition, Saba Mahdavi gained valuable experience through various roles at the University of California, Davis. She worked as a Research Assistant at UC Davis Medical Center in 2016, focusing on research methodologies. Additionally, she served as a Statistics Peer Advisor from 2018 to 2019, where she supported fellow students in understanding statistical concepts. Her research experience includes projects on causation, confounding, mediation, and network data visualization.
Previous Work Experience
Saba Mahdavi has a diverse work history that includes roles at the University of California, Davis, and Comcast. At UC Davis, she worked on research projects related to causation and network data visualization. She also participated in the Comcast Digital Connector’s Program as a Student Connector from 2012 to 2013. Her varied experiences have equipped her with a broad skill set applicable to data analysis and research.