Credit Risk Modeling & Financial Technology
I focus on credit scoring and PD models, feature engineering, model validation, and portfolio monitoring.
A successful Git branching model
A practical guide to feature, release, and hotfix branches in a Git workflow.
Hugo Automatic deployment
Build a Hugo blog with GitHub Actions and deploy it automatically to GitHub Pages.
Java Annotations Introduction
Mainly describes the difference and relationship between Java annotation, AOP and Interceptor.
Advanced Feature Engineering Framework: From Theory to Practice
A comprehensive framework covering advanced feature engineering methods including automation tools, time series techniques, cross-feature strategies, selection methods, and domain-specific features for finance and risk control.
A Technical Guide to Credit Risk Prediction
A systematic analysis of the Kaggle Home Credit Default Risk competition solution, detailing the complete machine learning pipeline from data preprocessing through feature engineering to model ensemble techniques.