Fardad Golshany
About Fardad Golshany
Fardad Golshany is the Head of Data at Scribe, where he specializes in transforming data into actionable insights. He has extensive experience in data analytics and product strategy, having held various roles at notable companies such as Capital One, Flexport, and PayPal.
Current Position at Scribe
Fardad Golshany serves as the Head of Data at Scribe, a role he has held since 2023. In this position, he focuses on leveraging data to drive strategic decisions and enhance operational efficiency. His responsibilities include overseeing data management, analytics, and the implementation of data-driven initiatives within the organization. Golshany works on-site in San Francisco, California.
Previous Experience in Data Analytics
Prior to his current role, Golshany held various positions in data analytics and product strategy. He worked at Flexport as the Head of Product Analytics from 2021 to 2022 and as a Business Analytics Manager from 2020 to 2021. His experience also includes a tenure as a Senior Product Analyst at Grove Collaborative and as a Senior Business Analyst at Capital One. These roles contributed to his expertise in transforming data into actionable insights.
Educational Background in Electrical Engineering
Fardad Golshany earned a Bachelor of Science (B.S.) degree in Electrical Engineering from the University of Maryland. His studies spanned from 2011 to 2014, providing him with a strong foundation in technical and analytical skills that he has applied throughout his career in data science and engineering.
Early Career and Research Experience
Golshany began his professional journey as an Undergraduate Research Fellow at the National Institute of Standards and Technology (NIST) in 2013. He also worked as a Research Assistant at the University of Maryland's Robert H. Smith School of Business from 2012 to 2015. These early experiences helped him develop a solid understanding of research methodologies and data analysis.
Expertise in Data Science and Engineering
Fardad Golshany specializes in product strategy, data science, data engineering, and analytics engineering. He is adept at experimentation and deriving insights from complex data sets. His ability to transform data noise into actionable insights is a key aspect of his professional skill set, which he has honed through various roles in the tech industry.