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.