Profile
I am a postgraduate researcher in the Analytics, Technology and Operations Department, Leeds University Business School, University of Leeds. Before being a member of the University of Leeds, I received my M.S. degree in Applied Statistics from Syracuse University, USA, and worked as a senior data analyst for Tongdun Technology, a leading professional third-party risk management and decision-making service provider in China. During my period of employment, I was focusing on applying machine learning algorithms and big data integration techniques to data management and feature engineering to produce data products aimed at boosting the power of credit risk management for our clients. As a result, I successfully provided a whole package of professional data products containing hundreds of features for thousands of clients. Also, I planned, organized, and directed specific data analysis projects and R&D projects, as well as negotiated among different departments to make sure these projects were on time and within scope.
My research is primarily concerned with applying machine learning to credit risk management in order to better determine the creditworthiness of potential customers in financial institutions.
Research Topic
- Machine learning in credit risk management
Qualifications
University of Leeds
Doctor of Philosophy - Management (2021 – Present)
Leeds University Business School Centre for Decision Research Scholarship
Syracuse University
Master of Science - Applied Statistics (2013 – 2015)
Professional Experience
Tongdun Technology
Senior Data Analyst (2019 – 2021)
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Applied machine learning algorithms and big data integration techniques on data management and feature engineering to produce data products aiming at boosting the power of credit risk management for our clients. Successfully provided a whole package of professional SaaS products containing hundreds of features for thousands of clients.
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Planned, organised and directed specific data analysis projects and R&D projects, as well as negotiated among different departments to make sure these projects were on time and within scope.
Tongdun Technology
Data Analyst (2015 – 2019)
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Managed a 3-member team to deliver data testing services to over 1,000 clients. Established and standardised best practices, enhancing the accuracy, scalability, and repeatability of data testing processes.
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Developed a Python-based offline data testing application to assess the performance of our data products on client-provided datasets, processing over 5 million loan application records annually, working closely with the sales team to interpret results and support purchasing decisions. • Delivered clear and actionable data testing insights to clients via reports and presentations, aiding informed decision-making.
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Optimised the Data Testing application with PySpark, reducing testing and processing time by 90%, increasing throughput by 50%, and accelerating client onboarding processes.
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Developed machine learning-based risk evaluation models to improve the performance of the blocklist database, achieving a KS value of 0.56 and improving default borrower identification performance by 25 times compared to the original blocklist database.