About Me

• AI-driven business analytics professional with experience in quantitative modeling, operational analytics and intelligent workflow systems.
• Experienced in applying machine learning and AI technologies to improve business efficiency, risk analytics, and data-driven decision-making.
• Interested in AI-enabled operational intelligence, intelligent automation and strategic business applications of artificial intelligence.

Education

Sun Yat-sen University
B.Eng in Theoretical and Applied Mechanics

• GPA: 3.3/5.0 (equivalent to 83/100 under institutional grading system) | Rank: 23/51
• Awards:
  • Undergraduate Thesis rated A and recognized as an Outstanding Thesis
  • First Prize, National College Students Mathematical Modeling Competition, Guangdong Division (2020)
  • Third Prize, Greater Bay Area Financial Mathematical Modeling Competition (2021)
  • Second Prize, SYSU Mathematical Modeling Competition (2019)

Tools / Keywords

• Programming & AI Systems: Python, SQL/MySQL, Spark, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Linux, Django, React, RAG Pipelines, Vector Databases, Multi-Agent Systems
• Machine Learning: Supervised & Unsupervised Learning, LightGBM, Logistic Regression, K-Means++
• Business Analytics: User Profiling, LTV Modeling, Risk Analytics, KPI Framework Design
• Quantitative Finance: Multi-factor Modeling, Quantitative Strategy Research, Backtesting Frameworks, Portfolio Risk Control, DeFi Hedging Strategies