DUNCHUAN WU
+1-602-******* ********@***.*** ***8 S College Ave, Tempe AZ 85282 dunchuan.github.io EDUCATION
Arizona State University, Tempe August 2019 - May 2021 Master of Computer Science GPA: 3.37
Arizona State University, Tempe August 2015 - May 2019 Bachelor of Science, Computer Science GPA: 3.21
SKILLS
Java, Python, .NET, C#, REST/SOAP Web Service, React, JavaScript, HTML, CSS, Layui MySQL, PostgreSQL, Spring Framework, Microservices, MyBatis, Maven, Git Solid Knowledge in Data Structure and Algorithms
PROJECTS
Multi-functional Web Service App - C#, .NET, Visual Studio February 2021 Created a web service that implements functions to count the number of vowel of a word, count uppercase letters of a word and reverse a word.
Added text encryption decryption functions and an image veri er function using other already-de ned web services in a web browser
Online Food Ordering System - Spring, Rest, MySQL, MyBatis, Layui January 2021 Designed a service provider framework with four providers: account, menu, order, user and constructed data in MySQL databases along with MyBatis
Designed one consumer that handles requests received from front end pages that are created using Layui and interface from the backend. Also, it contains accessible resources, interacts with the providers using a load balancer feign
Implemented client’s functions to login, exit, place an order and view their order and backstage man- ager’s functions to login, create/read/update/delete menus, process orders and create/read/delete clients where all HTTP requests are dealt by Rest
To-Do List Web App - React, HTML, CSS January 2021 Created a user-friendly webpage with interactive elements using React, HTML and CSS statements Implemented functions to create/delete tasks using buttons and show them on the page dynamically Classi ed tasks into completed, uncompleted and both combined using a dropdown list Movie Recommendation Database - Python, PostgreSQL, DBMS August - December 2019 Designed a movie recommendation database given an ER diagram with attributes of users, movies, tag’s info, genres and with relations of ratings, tags, hasagenre using PostgreSQL Implemented functions to load ratings, partition data by di erent attributes and built a query processor that accesses data from the partitioned ratings table using Python