Zhe Yu

*** ******** ***, *** **** CA *****, 315-***-****, acfm48@r.postjobfree.com

SUMMARY

. Proficient in handling different and massive data, conducting

statistical performance

. Strong skills in statistical modeling/testing, regression analysis and

time series analysis

. Hands-on experience with database design and management

. Outstanding communication skill with clients and team members, well

time organization and allocation for multiple projects

EDUCATION

8/2012-5/2014 Applied Statistics (M.S), Syracuse University, Syracuse, NY

GPA: 3.78/4.0

9/2008-7/2012 Statistics (B.S), North China University of Technology,

Beijing China

TECHNICAL SKILLS

Programming: SQL Server, R, SAS, Python, Java

Software: SPSS, Minitab, Rapidminer, Weka, MS Access, MS Visio, MS Office

Certification: SAS Certified Advanced Programmer for SAS 9

CONSULTING EXPERIENCE

3/13-4/13 Campus Statistical Analyst

. Interacted with students, faculties to gather questions to provide

better and more reasonable statistical methods for their data and

researches

. Analyzed clients' data by using R, SAS and SPSS based on clients'

requirements

. For clients came with questions about method application or data

output, offered them reasonable solutions and kept in touch for

further analyzed

PROJECTS

3/14-5/14 Regression Analysis

. Processed data from General Social Survey(1989-2013) to build

project dataset and analyzed how work conflict and family

characters effect person's job satisfaction

. Applied methods like mean or mode substitution to deal with

missing data and built linear regression model to discover the

relationship between job satisfaction and target factors

. In order to explore how family condition moderate the relationship

between family-to-work conflict and job satisfaction, interaction

terms were included linear regression model

. Used ordinal logistic regression analysis to find out the model

for further prediction about job satisfaction based on current

factors

. Compared parameters among models and evaluated model performances

for different purposes

. All procedures, such as data process and regression modeling, were

performed by SAS 9.3

10/13-12/13 Database Management

. Developed and implemented a complete working database to manage

job marketing

. Designed a database using SQL Server for both student and

recruiters to store and check target information

. Constructed a user-friendly interface by MS Access for database

users to insert and update the information efficiently

. Created SQL queries to achieve the searching functions in this

database so that student search target job based on location,

position name or company, and recruiters can do search based on

school, major or certain skills to discover and contact with

potential employers

3/14-5/14 Data Mining

. Applied bank-marketing dataset to predict whether a client will

subscribe a term deposit, using Rapidminer and SPSS to clean the

data

. Developed and adjusted three machine leaning methods:

classification (Decision Tree, SVM, Naive Bayes), clustering,

generating association rule by using Weka and R

. Evaluated algorithms performance and compared method accuracy

across

3/13-5-13 Time Series Analysis

. Conducted time series analysis with energy consumption and

unemployment rate monthly data from US government web site

. Discovered and removed seasonal patterns from both variables by

using SCA

. Utilized ARCH/GARCH model and drew the time series plot

. Predicted inner relationship between energy consumption and

unemployment rate using Minitab and R

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