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.