CV

Education

• 2024-2025
  M.Res in Management Science, Lancaster University
  • Project: Reinforcement Learning for Revenue Management and Dynamic Pricing
  • Supervisor: Prof. Dong Li

Skills

• Programming & Software:
  • Proficient in Python, R, MATLAB, Stata, Eviews, SPSS
  • Experienced in LaTeX, Word, Excel, PowerPoint, Access
• Data Analysis & Machine Learning:
  • Skilled in statistical analysis, econometric modeling, and simulation using Python, R, and MATLAB
  • Experience with TensorFlow for machine learning model implementation
  • Proficient in text data processing and sentiment analysis using Python
• Large Language Models:
  • Fine-tuning, embedding, and local deployment of large language models
  • Expertise in prompt tuning and workflow development for LLM applications
• Database Management:
  • Proficient in SQL, Excel, and Access for data management and analysis
  • Experience in web scraping and data crawling using Python

Honors and Awards

• Lancaster University Management School Master’s Scholarship (2024)
• Excellent Graduation Thesis (Grade: 90) (2023)
• National Undergraduate Training Program (RMB 25,000; Role: Leader) (2022)
• First-Class Academic Scholarship (2022)
• First Prize, 12th National Student Market Research and Analysis Competition (2022)
• First Prize, 8th National Student Statistical Modeling Competition (2022)

Academic Service

• Journal Reviewer:
  • International Review of Financial Analysis (ABS-3)
  • Finance Research Letters (ABS-2)
  • Energy Strategy Reviews
  • Digital Business