Edward Kuo (Chih-Rong, Kuo)
Personality: aggressive, commiunicative, logical, sharing.
=====Experience in Machine Learning=====
[ Natural Language Process ]
1. Keyword Extraction
- Implemented TF-IDF, Word Embedding, and BERT models to extract keywords for e-commerce product information.
2. Text summarization
- Developed a text summarization system using ELMO to generate concise summaries for media (news/blog) content and e-commerce product information.
[ Recommendation System ]
1. Item-based Recommendation
- Created an item-based recommendation system by employing item embedding and Graph Neural Network (GNN) techniques for analyzing e-commerce user browsing records.
2. User-based Recommendation
- Designed and implemented a user-based recommendation system based on High-order Markov chains to enhance e-commerce user browsing experiences.
[ Computer Vision ]
1. Object Detection
- Utilized TernausNet and Mask RCNN models to perform object detection on Colorectal Polyps image data.
- Employed Swin Transformer and EffNet architectures for accurate object detection in Mura images.
===== Experience in Database Analysis=====
1. Optimizing internal database structure.
- Successfully revamped and optimized the structure of an advertising-related database, resulting in a remarkable 42x increase in query speed.
- Proficiently documented and augmented the database schema and Entity-Relationship Diagram (ERD) for enhanced data management.
2. Designing user relational database dataflow.
- Conceptualized and implemented a robust user relational database system encompassing user profiles, events, purchases, and access tokens.
- Devised an efficient dataflow process to seamlessly fetch data from storage (AWS S3) for real-time access and analysis.
=====Other Data Science Exp.=====
1. RESTful API
- Developed RESTful APIs using Django in conjunction with AWS API Gateway to fetch and serve data stored in AWS S3, enabling seamless integration with various applications.