Victor Tsai
Data Scientist specializing in statistical modeling, anomaly detection, and applied machine learning for real-world decision-making.
I combine biostatistical training with production engineering experience to design reliable analytical systems under real-world constraints — especially in settings with limited labels and complex data structures.
📊 Statistical Modeling & Analysis
- Semi-supervised anomaly detection without ground truth
- Linear mixed-effects modeling for hierarchical data
- Clustering & structured data segmentation
- Applied statistical inference and uncertainty estimation
🧪 Model Evaluation & Validation
- Offline model comparison in weakly labeled environments
- Proxy metric and evaluation framework design
- Controlled rollout strategy for model replacement
- Performance stability and error analysis
⚙️ Applied & Consulting-Oriented Work
- Translating ambiguous business problems into analytical solutions
- Designing interpretable models for stakeholder decision support
- Clear communication of statistical findings to non-technical audiences
📌 Open to data science and statistical analysis opportunities
📫 Email: victor.tsai.info@gmail.com