B.Sc. Statistics, Guangzhou University
Applied statistics | Time-series forecasting | Financial risk modeling | Survey analytics

Academic Portfolio | CV | CSDN Notes | Email

I am a statistics undergraduate working on applied statistical modeling and data-driven decision analysis. My current portfolio centers on forecasting, risk measurement, survey-based inference, and reproducible analytical workflows.

My academic line is to connect statistical methods with interpretable evidence: model diagnostics, robustness checks, backtesting, and clear reporting matter as much as model fitting itself.

• Time-series forecasting: SARIMA/SARIMAX, HAR-style features, volatility modeling, forecast comparison.
• Financial risk modeling: VaR estimation, quantile regression, GARCH-family models, backtesting and diagnostic evaluation.
• Survey and social data analysis: clustering, factor analysis, logistic regression, audience segmentation.
• Decision analytics: TOPSIS, entropy and CRITIC weighting, sensitivity analysis, multi-objective optimization.
• Geospatial and data validation: GIS workflows, GeoJSON processing, source verification, reproducible data packaging.

Built an empirical workflow for volatility and risk measurement using statistical and machine-learning methods. The project emphasizes feature design, quantile-based prediction, and backtesting rather than black-box accuracy alone.

Designed a multi-indicator framework to evaluate tourism sustainability and policy trade-offs, with a case study for tourism-pressure assessment.

Compared forecasting models for demand volatility and used forecast outputs to support warehouse allocation and capacity planning.

Cleaned and analyzed 800+ survey responses for cultural-audience research, supporting segmentation and engagement analysis.

• B.Sc. in Statistics, School of Economics and Statistics, Guangzhou University.
• GPA: 3.64 / 4.0; ranking: Top 10%.
• Core coursework: mathematical analysis, advanced algebra, probability and statistics, regression analysis, time-series analysis, statistical computing, data mining.
• Selected recognition: MCM/ICM Honorable Mention; National First Prize in Market Survey and Analysis Competition; provincial awards in mathematical and statistical modeling.

I also write and translate technical materials on statistics, data science, and AI topics, including Transformer visualization, AI agents, multi-armed bandits, and AI for time-series data.

For a fuller record of projects, experience, and downloadable materials, please visit my academic portfolio.