Data Science Undergraduate
I work on machine learning, research software and data systems. My public projects focus on traceable data processing, out-of-sample evaluation and clear limits on what the results support.
- WDCGG Data Pipeline — Python workflows for acquiring, screening and analysing long-term WDCGG CO₂ and CH₄ observations. The repository includes source manifests, offline tests and frozen result summaries; third-party observations are not redistributed.
- Shanghai Ozone ML — A 2021–2025 Shanghai ozone study using ERA5 fields, repeated SOM weather typing, leave-one-year-out Random Forest evaluation and out-of-fold SHAP. The public code documents data-access limits and seasonal uncertainty in the weather catalogue.
- Huawei LLM Agent Router — Competition work on Qwen3 tool selection, direct and two-stage prompting, synthetic examples and evaluation. The current code proposes tool calls; it does not execute them.
- OmniStream Database Project — PostgreSQL coursework covering relational design, constraints, JSONB, analytical SQL and transaction handling.
Python · SQL/PostgreSQL · pandas/NumPy · scikit-learn · PyTorch · Git
I study Data Science and Big Data Technology at Xi'an Jiaotong-Liverpool University. Research code and project context are linked above.