Experience

  • Risk Management

    at Ping An Group

    May 2019 - August 2019

    Singapore

    Optimized the Home Credit Default Risk project model, increasing model prediction accuracy from 75% to 79.9% (from top 40% to top 15% in Kaggle ranking). Explored the application of big data-based machine learning algorithms in the financial field. Discussed with clients to generate use case scenarios based on user requirements. Actively participated in technical/professional training or inter-department workshops and team meetings to discuss best practices/processes to improve.

Education

  • International Political Economy

    at Nanyang Technological University

    2018 - 2019 (1 year) Singapore

  • International Economics and Trade

    at Guangzhou University

    2014 - 2018 (4 years) Singapore

Knowledge and keywords

Languages

  • Chinese Native

  • English Negotiation

  • Italian Elementary

Hives