• Co-authored paper, tentative title: The Exploration of the Impact and Risk Factors of CDS Return: The Combination of Empirical and Machine Learning Approaches (work in progress), with Prof. Giovanni Calice (research supervisor). Applied machine learning tools (XGBoost, SVM, NLTK, etc.), made a combination with empirical models, expanded sample, enhanced the robustness, research originality, analytical framework, legibility of outcomes and depth of the research.• Applied traditional econometric machine learning, and big data analysis methods, detect impact factors, conduct part of empirical and ESG-related research, made relevant research presentations concise and insightful.

Graduated with merit degree.

• Contract validation, market analysis and presentation slides editing via Excel, PowerPoint and Word.• Participated in fund management data analysis (data cleaning and data snooping) tasks via Excel and Stata.• Remote work due to COVID-19 quarantine policy.