Shin Yu Kao

• Designed and deployed a fraud detection machine learning model by collaborating with cross-functional teams and analyzing fraud patterns. Successfully brought the model into production, generating high-risk case lists that reduced investigation workload by 80% and improved operational efficiency. • Introduced Neo4j graph database to build a financial knowledge graph and visualize transaction relationships, reducing investigation and verification time by 82%. • Conducted customer behavior analysis and trac

• Developed a computer vision-based X-ray image clustering system using DenseNet and K-means to automatically categorize anatomical regions, achieving performance metrics above 90% (Accuracy / Recall / Precision). • Performed multimodal diagnostic consistency analysis by integrating CT imaging (MULAN-based tumor detection) with clinical records, aligning image and text predictions. • Contributed to a dental AI system for wisdom tooth localization and surgical classification using YOLOv5, achieving 90% detec

• Developed ANN-based machine learning models for Heart Rate Variability (HRV) signal analysis to support emotional stress monitoring in a workplace wellness platform. • Processed and normalized medical imaging data, including nasopharyngeal histopathology slides, to enhance image quality for diagnostic AI model development.

Recognized in Germany (ZAB Statement of Comparability) – Equivalent to a German master’s degree