ABOUT
About
I am interested in turning raw records into trustworthy analysis and maintainable applications, and in developing further experience in data analysis, data engineering, and data science.
Technical skills
Programming languages
Python, SQL, R
Statistics & experimentation
A/B testing, causal inference, survival analysis, Cox regression, hypothesis testing, multiple testing
Machine learning
scikit-learn, XGBoost, PyTorch, feature engineering, model evaluation, SHAP
Data & engineering tools
PostgreSQL, pandas, NumPy, Streamlit, Git, Excel, Power BI
Interests
Reliable data processing
Data cleaning and modeling, metric definitions, incremental processing, quality checks, and automated reporting.
Rigorous analysis & evaluation
Randomized experiment analysis, offline policy evaluation, leakage control, and statistical uncertainty; distinguishing model performance, business value, and causal conclusions.
Languages
Mandarin, Cantonese, English
IELTS 7.0 · CET-6