Chang-Chia Chen

- Implemented unsupervised machine learning on a large dataset of 4,674 semiconductor products with 111 features, successfully identifying 6 distinct customer groups. - Applied deep learning to uncover 5 key components from over 100 features, boosting computational efficiency by 80% and improving clustering accuracy by 70%. - Presented findings to the global team lead, highlighting potential for a 5% increase in customer acquisition through targeted segmentation and personalized marketing strategies.

- Labeled and modeled over 3D images of plant data using the space carving algorithm, enhancing data accuracy by 15% for subsequent analysis and research applications.

Main Courses: -Case Studies in Time Series Analysis (1,0/1,0) -Statistics in Toxicology (1,0/1,0) -Programming with Julia (1,3/1,0) -Foundations of Data Science (1,7/1,0) -Big Data Analysis (1,7/1,0) -Statistics in Bioinformatics (1,7/1,0)

Main courses: Data Structures, Probability Theory and Statistics, Information Retrieval and Search Engine