About Me

Hi, there! I am Ye Xiao, currently a second year data science student at University of Southern California. I am a software developer with a keen interest in problem-solving, delivering scalable solutions and always prepared to exploring the new technologies.

I have experience building web application across Java, Python and Javascript. I also have good experience in data analysis/data visualization. My goal is to grow as a full stack developer, where ability to process data comes natural to me. Currently I'm open to all full-time opportunity, if you have interest or any idea to discuss, feel free to reach me out via the following email.

Contact Details

Ye Xiao
1253 W 35th St
Los Angeles, CA 90007 US

(213) 590-6149
seanxiao1996@gmail.com

Education

University of Southern California

Master in Data Science Jan 2019 - Now

Relevant Coursework: (Algorithm:A, Machine learning:A-, Database:A-, Data Mining:A-, Data Visualization:A, Knowledge Graph:A)

Central China Normal University

B.S. Degree in Applied Math / Physics Sept 2014 - Jun 2018

Work

Fiberhome Information Integration Co.,Ltd

Software Engineer Feb 2018 - Aug 2018

Implemented the resource alarm module of the web portal for FitOS(cloud operating system) via Django. Cooperated with the testing group to debug and optimize code performance. Designed the PRD for future refactoring of the project.

LinkSprite(Wuhan) Electronic Technology Co.,Ltd

Software Engineer Internship July 2017 - Aug 2017

Designed web scrawlers via Scrapy and Scrapy-Redis for the massive ID image dataset collecting work. Conducted image data ETL pipeline via OpenCV and Pandas. Constructed a fast-RCNN via Tensorflow on the image sets for model training and achieved 80% accuracy.

Skills

  • Web Technology - jQuery, D3.js, bootstrap, XML, HTML/CSS
  • Tools/Framework - SpringBoot, Django, Pandas, OpenCV, Tensorflow, AWS, Git
  • Databases/Big Data Ecosystem - MySQL, MongoDB, Redis, Hadoop, Spark, Neo4j

  • Python
  • Java
  • JavaScript
  • CSS/HTML5
  • Data Analysis/Machine Learning