Computer Science Information

Puxuan Qi ******@*****.***

617-***-****

Objective

A full-time position as the Software Development Engineer from Spring 2018. Education

Boston University Boston, MA

Master of Science in Computer Science; GPA: 3.43 Excepted May 2018

Relevant coursework: Android Development, Data Mining with python, Computer Network, Advanced database

Southeast University Nanjing, China

Bachelor of Science in Computer Science; GPA: 3.20 Aug. 2011 { Aug. 2015 Skill

Languages: Java, Python, SQL, HTML, CSS, JavaScript, NoSQL

Technologies: Android SDK, Unity3d, GitHub, MySql EXPERIENCE

Step by Step Inc. Nanjing, China

SDE Intern Jul. 2015

Generated various basic road models in Unity3D such as intersection, Y intersection, parking lot, etc.

Simulated car models and appearance related functions such as movements of pedals, mirrors, different kinds of lamps and their on/off . Packaged these models for the car function simulation team.

Developed car models and road models dynamically in Unity3D based on the real world parameter.

Wrote unit test code for every model.

Built with JavaScript.

PROJECTS

Menu scraping and restaurants location analysis of the Great Boston Area Feb. 2017 - May.2017 BU SPARK program

Scraped 1089 menus and location information of restaurants in the Great Boston area using Google Map API and analyzed the relationship between food type and location information.

Designed the problem solving procedure, location information scrapers and menu scrapers.

Built with python.

Android weather report application Sep. 2016 - Jan. 2017 Computer Network

Designed and implemented an Android application of travel information and tips noti cation.

Extracted weather information from Chinese Weather and travel tips from Mafengwo and Tuniu.

Built with Java and Android SDK.

DTW for music recognition Feb. 2017 - May. 2017

Advanced Database

Performed song search with segment with DTW(Dynamic time warping) algorithm.

Implemented Map-Reduce style API to calculate the similarity of a segment and whole song tracks.

Built with python and MRjobs.

Restaurants analysis based on Yelp in LA Feb. 2017 - Mar. 2017 Data Mining with Python

Clustered and visualized culinary districts in LA based on restaurant tags and geological information.

Filtered, re ned and combined data. Implemented with GMM, K-Means++ and hierarchical algorithms.

Built with python.

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