OBJECTIVE
To obtain a challenging full-time position in a dynamic company, where I can utilize my statistical knowledge and analytical skills to become an asset to the company.
QUALIFICATIONS
SAS certified base programmer for SAS 9 Three years’ programming experience with R Familiarity with popular statistical models, tests, and techniques. Experienced with regression analysis, analysis of categorical data, sample size estimation, hypothesis testing, analysis of variance/covariance, reliability evaluation and principal component analysis etc. Extensive research experience Successfully worked with professionals with different disciplines Fluent in English and Chinese (Mandarin) COMPUTER SKILLS
Programming Languages: SAS • R • SQL • Matlab
Software: MS Excel • MS Word • MS PowerPoint • MS Outlook • SolidWorks • UGNX • OpenOffice • GIS • Mathematica
WORK EXPERIENCE
Apt Inventory Classification (AIC) Analyst May 2012-August 2012
Confidential,Sunnyvale, California
Analyzed and handled a vast amount of data for property inventory structure Identified and broke down root paths into custom sections Reviewed classification files from other teams and corrected errors Collaborated with representatives from Yahoo! Hong Kong and Yahoo! Taiwan to finalize project Developed inventory bundling strategies for assigned markets Planning and Forecasting Consultant May 2011-August 2011
Confidential,San Jose, California
Developed sampling plan and established database Implemented and maintained forecasting models to achieve optimized inventory level of products Consulted with supply chain managers to improve logistics management and resulted a $6800 monthly saving Teaching Assistant (Engineering Statistics-MA3710) September 2009-April 2010
Confidential,Houghton, Michigan
Graded homework and exams from 100+ statistics students Documented students’ grades and updated announcements in Blackboard learning system Provided academic support outside of class hours Assisted professors in preparing class hand-outs and quizzes Quality Control Engineer May 2009-August 2009
Confidential,Chengdu, China
Conducted routine and non-routing inspections and documented weekly report Detected and eliminated 3 potential printing equipment failures Assisted in revising manufacturing procedures and achieved $130 daily cost reduction PROFESSIONAL EXPERIENCE
Master’s Thesis: Sliced Inverse Regression Analysis Fall 2011-Spring 2012
A new sliced inverse regression methodology was introduced and compared with some of the most popular methods The algorithms for both new methods and existing methods were implemented in R, and simulations were performed with different parameters and models Our new sliced inverse regression method outperformed existing methods Root-finding Algorithms for Maximum Log Likelihood Estimation Fall 2010
5 different root-finding algorithms were written in R to calculate the MLEs The results from each algorithm were compared and evaluated by using different distribution models The characteristics of each algorithm were identified Inter-rater Reliability Evaluation Summer 2010
A group of reviewers were chosen to evaluate papers from students of a writing class Statistical analyses were conducted to determine the consistency of the reviewers and whether student writing skills had improved Assessed graders’ performance and consulted with professors to revise evaluation procedures EDUCATION
Master of Science: Statistics
Bachelor of Science: Mechanical Engineering