Data Analyst

Zhe Yu

*** ******** ***, *** ****, CA, *****

315-***-**** **********@*****.***

EDUCATION

Master of Science in Applied Statistics (May 2014)

Department of Science, The college of Art and Sciences

Syracuse University, Syracuse, NY, United State

GPA: 3.8

Related coursework: Regression Analysis, Analytical Data Mining, Time

Series Modeling and Analysis, Statistical Consulting, Data Administration

Concept and Database management, Nonparametric Statistics and Categorical

Data Analysis

Bachelor of Science Statistics (June 2012)

Department of Science

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

Campus Statistical Analyst, March 2013-April 2013

. 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

ACADEMIC PROJECTS

Regression

. Selected 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

Database Management

. Designed and implemented a complete working database to manage job

marketing

. In this database, student users in the system can search job

information and find target job or career events, also made recruiter

users can target their potential employees based on certain job

qualifications

. Built the whole database frame and structure by using SQL Server,

created certain interfaces in Access that can input new data and do some

search for the users

. Created SQL queries to achieve the searching function 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 ideal employers

Data Mining

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

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

. Conducted several machine leaning methods such as classification,

clustering, generating association rule by using Weka and R

. Evaluated algorithms performance and compared method accuracy across

Time Series Analysis

. Collected recent 2 years energy consumption and unemployment rate

monthly data from US government web site

. Discovered and removed seasonal patterns from both variables by using

SCA

. Built bivariate model between energy consumption and unemployment rate

using Minitab and R

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