I am an undergraduate student majoring in Econometrics at University of Amsterdam, with a strong foundation in mathematics, statistics, and economic modeling. My academic training emphasizes causal inference, regression analysis, and time-series forecasting, and I am proficient in tools such as Python, Stata, and R for data processing, modeling, and visualization.
Beyond theory, I am passionate about applying quantitative methods to solve real-world problems in business strategy and policy evaluation. I have worked on projects involving sales forecasting, pricing strategy optimization, and regional policy impact assessment. I aim to bridge the gap between data analysis and decision-making, delivering insights that are both rigorous and actionable.
Modeling & Econometrics: Multiple Linear Regression, Logit/Probit Models, Panel Data Analysis, Difference-in-Differences (DID), Time Series Forecasting (ARIMA, GARCH)
Data Analysis Tools: Python (pandas, statsmodels, matplotlib), R, Stata
Data Visualization & Reporting: Excel (Pivot Tables, Solver)
Languages: Mandarin Chinese (native), English (ELTS [65])
Strong mathematical background, with high performance in key quantitative courses: