Fei Fang, PhD
About Fei Fang, PhD
Fei Fang, PhD, is a Senior Data Scientist based in London, England, with a background in Operational Research. He has extensive experience in the E-commerce sector and currently works at Nationwide Building Society, applying data science techniques to optimize business processes.
Work at Nationwide Building Society
Fei Fang has been employed as a Senior Data Scientist at Nationwide Building Society since 2020. In this role, Fang applies expertise in data science to enhance business processes and drive data-driven decision-making within the organization. The position involves utilizing advanced analytical techniques to support various initiatives and improve operational efficiency.
Education and Expertise
Fei Fang holds a Doctor of Philosophy (PhD) in Operational Research from the University of Southampton. This academic background provides a strong foundation in quantitative analysis and optimization techniques. Fang's expertise encompasses machine learning modeling and data science applications, particularly in the E-commerce sector, where these skills are utilized to optimize business processes.
Background in Data Science
Fang has a diverse background in data science, having previously worked in various roles that contributed to the development of analytical skills. Prior to joining Nationwide Building Society, Fang worked as a Data Scientist at Episerver from 2018 to 2020 and as a Data Research Analyst at Arriva Group from 2017 to 2018. These positions involved applying data science techniques to solve complex problems and improve operational outcomes.
Professional Experience Prior to Nationwide
Before joining Nationwide Building Society, Fei Fang gained valuable experience in data analysis and research. Fang worked as a Research Analyst at NATS from 2016 to 2017, where analytical skills were further honed. The cumulative experience across these roles has contributed to a robust understanding of data-driven solutions and their application in various sectors.
Skills in Optimization and Machine Learning
Fei Fang possesses strong skills in optimization and machine learning modeling. These competencies enable the development of advanced data-driven solutions that address complex challenges in business processes. Fang's work emphasizes the importance of leveraging data to inform strategic decisions and enhance operational performance.