
Movie Recommendation System with Online and Offline Storage
MovieRecSys is a movie recommendation system, which applies online and offline storage technology to display an industrial data streaming demo.
[Demo][Github Repo]
Passionate for Computer Science and Software Engineering
Recently, I'm a CMU graduate student major in management information systems (software engineering track). I worked as data development engineer and data scientist for the past three years. And now, I decide to be a software engineer as my next career goal. I firmly believe that an interdisciplinary talent is someone who I could be.
MovieRecSys is a movie recommendation system, which applies online and offline storage technology to display an industrial data streaming demo.
[Demo][Github Repo]
Color is a key factor in attracting customers to make a purchase. I build a trending insight dashboard focusing on color. It can help R&D and MKT teams to find the next potential color on time.
[Demo][Github Repo]
Course project of 11642 Search Engine.
Develop a text-based search engine which includes exact match (Ranked and Unranked Boolean) and best match (BM25, Indri) retrieval models using Lucene in Java.