Shiwen Yang

Causal inference framework for geo-based incrementality experiments: study design, sample size determination, power analysis, and counterfactual estimation across geographic markets. Includes a Python RAG assistant for non-technical users.

• causal inference
• augmented synthetic control
• Python
• R
• RAG
• experimentation

Reusable Python ML pipeline for cross-validated model training, evaluation, and ensembling using XGBoost, LightGBM, CatBoost, and regularized logistic regression. Applied to real-world datasets in the NESS Statathon, earning top placements in 2023, 2024, and 2025.

• Python
• XGBoost
• LightGBM
• CatBoost
• machine learning
• cross-validation

Headless automation system on Linux using Python, OpenCV, OCR, and CNN-based screen parsing. Graph-based state controller for real-time perception and decision-making. Reduced manual supervision from hours per day to ~15 minutes; sustained >99% uptime over 6+ months.

• Python
• OpenCV
• CNN
• OCR
• Linux
• graph-based control