Kayvan Nejabati Zenouz
About Kayvan Nejabati Zenouz
Kayvan Nejabati Zenouz is a Senior Data Scientist at Legal & General, where he leads a team in developing innovative software products. He has a strong academic background, having lectured in mathematics and contributed to various research roles, while also sharing his expertise through guest lectures at academic institutions.
Work at Legal & General
Kayvan Nejabati Zenouz has been employed as a Senior Data Scientist at Legal & General since 2022. In this role, he leads a team of four in the development of innovative software products. His work focuses on applying data science techniques to enhance the company's services, particularly in the financial sector. Notably, he has developed a machine learning-driven Property Valuation Decision Engine for Mortgage Services, utilizing geospatial statistics to improve decision-making processes.
Education and Expertise
Kayvan Nejabati Zenouz holds a Doctor of Philosophy (PhD) in Mathematics from the University of Exeter, which he completed from 2014 to 2018. He also earned a Master's degree in Mathematics from the same institution between 2010 and 2014. Additionally, he obtained a Postgraduate Certificate in Higher Education Teaching from Oxford Brookes University. His academic background provides a strong foundation for his expertise in data science and mathematics.
Background
Before joining Legal & General, Kayvan Nejabati Zenouz had an extensive academic career. He worked as a Lecturer in Mathematics at the University of Greenwich from 2019 to 2022. His earlier experience includes roles as a Research Associate at the University of Exeter and a Postdoctoral Research Associate at The University of Edinburgh in 2018. He also served as a Teaching Fellow in Mathematics at Oxford Brookes University from 2018 to 2019.
Achievements
Kayvan Nejabati Zenouz has made significant contributions to the field of data science. He designed an award-winning forecasting application that transformed contact volume planning at an advice center by integrating time series modeling with Erlang calculations. Furthermore, he actively shares his industry knowledge through guest lectures at academic institutions, fostering connections between the commercial and educational sectors in data science.
Mentorship and Leadership
In his current role, Kayvan Nejabati Zenouz mentors junior data scientists and manages apprentices. He conducts peer reviews of technical work, ensuring high standards and fostering professional development within his team. His leadership in developing innovative software products and his commitment to mentoring reflect his dedication to advancing the field of data science.