TECHNICAL SKILLS Phone: ***-***-Xiaoying ****; (Malea) Email: maleayu18@Yu gmail.com

Programming Languages: Java, Python, JavaScript, HTML, PHP, CSS, SQL, R Framework &Tools: J2EE, Spring, Angular2+, Node.js, Git, MySQL, MongoDB Other Skills: Proficient Verbal and Written Communication Skills in English/Mandarin EDUCATION ACADEMIC University • • Core School Graduate courses: of EXPERIENCES BACKGROUND Pittsburgh of Computing Data School Structure, of Public and Algorithm, Information and International Information Affairs Retrieval, Database Management. Master Master of of Public Information 08/Administration 2015-GPA: Sciences 04/3.2018 7/4 Collaborative Online Judge System

• • Implemented simultaneously Designed and a developed web-by Socket.based a io, single-collaborative Redis; page web code application editor which for coding supports problems multiple by user using editing Angular2+, Auth0,

• • Java • • • E-commerce Node.Built Refactored balancing Implemented resuming Designed Used based a Postman js, user-Online MongoDB; Business and game by and code Nginx an developed Game: and Improved by interactive executor Java. Shopping ApachBench (REST Gomuku web system API, service game application System Nginx)Master to throughput web which test . page and can and for measure build by game achieving decoupling and algorithm the execute performances playing services with user’s game Spring using code with of web MVC, by RESTful computer, Docker service. Hibernate API and saving and Flask; and loading and MySQL.

• • • Ask! Implemented transactions Constructed history Improved – Web Search by data PHP, a such an user (Engines input HTML, online as interface purchase & shopping CSS output) on TREC and and orders, MySQL. precision database web Information inventory application and to login, consistency Retrieval updating, which browse achieved order by products, designing history a real place regular business tracking orders, expression process and check and pattern. order WORK • • • Implemented Wikipedia Retrieved Developed and EXPERIENCE optimized data sub-a web a the dataset from web page retrieval search 50G and with original displayed engine model Java. date with service, the set pseudo ranked and achieved built relevance search index TREC results document feedback information by using by Retrieval Apache Statistical Lucene. based Language on original Model Data Engineer (Research Assistant) – University of Pittsburgh 08/2017 - Present

• • Designed Applied logistic and managed model (Random the database Forest) to store to predict 10 years Pittsburgh of Pittsburgh gentrification local census situation. data by MySQL.