Sepideh N.
About Sepideh N.
Sepideh N. is a Vice President of Data Science with approximately 20 years of experience in developing advanced algorithms and software in the healthcare and financial sectors. She has held various roles at PRA Group and Tamin, focusing on empowering business users with data and technology.
Current Role at PRA Group
Sepideh N. serves as the AVP of Data Science at PRA Group, a position she has held since 2016. In this role, she focuses on expanding advanced analytics capabilities to derive insights and optimize core business processes. She emphasizes empowering business users with data and technology, leveraging actionable data science to enhance decision-making.
Previous Experience at PRA Group
Prior to her current role, Sepideh N. worked at PRA Group in various capacities. She served as a Data Specialist from 2012 to 2014 and as an Application Development Manager from 2014 to 2016. Her experience at PRA Group contributed to her expertise in data science and application development within the financial sector.
Experience at Tamin ICT & Management Consultancy
Sepideh N. has a significant tenure at Tamin ICT & Management Consultancy, where she held multiple positions. She worked as a Software Developer, Research Team Member, and Project Manager from 2002 to 2007. Subsequently, she was the Director of Software Development from 2009 to 2011 and served as the AVP of Research & Development from 2007 to 2009. Her roles at Tamin enhanced her skills in software development and project management.
Education and Expertise
Sepideh N. holds a Bachelor of Science in Software Engineering from Azad University Tehran Central Branch, where she studied from 1997 to 2001. She also earned a Master of Science in Artificial Intelligence and Robotics from Tehran University between 2003 and 2006. Additionally, she studied Business Administration and Management at the University of Virginia Darden School of Business, focusing on leading in the digital age.
Specialization in Data Science
Sepideh N. specializes in designing multi-agent intelligent learning systems, drawing from her extensive experience in academia, research, and industry. With approximately 20 years of experience, she has innovated advanced algorithms and software solutions in both healthcare and financial industries. Her aim is to leverage data science as a competitive advantage for organizations.