High School Computer Science

CHRISTINA YUN LIANG

202-***-**** ************@*****.*** Emeryville, CA

WORK EXPERIENCE Statistical Consultant, Gelman Library Jan. 2016-May. 2017

• Helped GWU students to deal with different statistical problems

• Used R, SQL, MYSQL, SPSS, STATA, SAS and Python programs in students’ queries Part-time Intern, Virginia Educational Center May. 2016-October. 2016

• Analyzed difference in retention and enrollment rate in postsecondary institutions between those who pass GED test and those who get normal high school diploma

• Used R Programming to implement statistical analysis for GED and normal high school diploma students, and use tableau and JavaScript to do visualization

• Used SQL and MYSQL for data selection and data merging to do the variable selection process Part-time Intern, EM-FVSD, HIT, Harbin, China Sep. 2014 - October. 2014

• Led statistical analysis and application research for the “Multi-Objective Parameter Design Methods for Eddy Current Sensors (Point Eddy Probe)” project

• Developed an efficient statistical method to optimize eddy current sensor parameters based on orthogonal experimental design theory

• Derived the overall data distribution result by orthogonally arranging the normal distribution characteristics of the test data; and implemented the optimized parameters for a new eddy current sensor with a wide detection range and small coil diameter

SKILLS

• FRONT END: HTML,CSS,PHP,JAVASCRIPT

• BACK END: Python, Core JAVA,C

• BIG DATA: SQL, MYSQL, Hadoop

• WEB SERVICE: XML

PROJECTS Income Indexes Analysis and Improvement October. 2016-May. 2017

• Analyzed the increasing trends of different indexes in US, Canada and UK

• Designed the median-based indexes of the original indexes which performed better in the estimation using SQL, R and Python

Knuckle Joints Recognition System Implementation Oct.2014 – May.2015

• Team member of “Knuckle Joints Recognition System” project in the Biometrics Research Center, Department of Computing, HKPU, advised by Prof. Kumar Ajay

• Improved the performance and efficiency of the knuckle joint detecting algorithm so that it could recognize the knuckle joints of different people with greater accuracy using Java

• Successfully implemented the LRT algorithm and improve its efficiency and accuracy

• Used SQL and MYSQL to implement the basic operation of adding, deleting, merging data in the online database connected with PHP

EDUCATION The George Washington University (GWU), Washington DC Aug. 2015-May. 2017 MS Student in Statistics (GPA: 3.9)

The Hong Kong Polytechnic University (HKPU), Hong Kong Sept. 2011-Jun. 2015 BS in Computer Science

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