Marketing Data

Ray Chen

**** * ***** *** (Apt *) Wauwatosa, WI 53213 (217)819-

**** abnbja@r.postjobfree.com

OBJECTIVE

To obtain a position as a statistician where I can maximize my

contribution with enhanced analytic strength, multiple programming

skills, extensive experience in statistical modeling and strong

communication skills.

SUMMARY OF QUALIFICATIONS

Deep understanding of statistical theories and methodologies based on

strong analytic foundations built by in-depth training in math and

physics.

Extensive experience in statistical analysis through various projects

with modeling techniques such as predictive regression(including linear

regression and logistic regression as well as mixed effect regression),

hypothesis testing, decision tree categorization, cluster analysis and so

on.

Proficient in programming with statistical software SAS and experienced

user in both UNIX and Windows environments.

EDUCATION

MS in Statistics, University of Illinois at Urbana-Champaign, Champaign,

Illinois, August 2007

Studied in Graduate Program in Astronomy, University of Illinois at

Urbana-Champaign, Champaign, Illinois, 1998-2005

MS in Astrophysics, Beijing Astronomical Observatory, Chinese Academy of

Sciences, Beijing, China, July 1998

BS in Astrophysics, Nanjing University, Nanjing, China, July 1995

1 SKILLS

Proficient in statistical software SAS, especially skillful in SAS Macro

and SAS SQL;

Skilled in programming with C/C++, familiar with SQL, some experience

with VB/VB Script;

Long-time experienced user of UNIX, familiar with MS Office suite;

Incomplete course list:

Mathematical Statistics, Applied Regression and Experiment Design,

Analysis of Variance, Time Series Analysis, Sampling and Categorical

Data,

Statistical Consulting, Statistical Computing, Statistical Learning,

Bioinformatics, Data Structure, Numerical Computing, etc.

1 RELATED EXPERIENCE

Statistical Modeler in Database Marketing, Group O, Inc., Dec 2007-

present

Manage extremely large datasets from various sources and perform

segmentation analysis on customer profiles for AT&T marketing operations;

Build statistical models for different regional marketing operations

to predict customer behaviors and effectively target potential customers

for customer acquisition/retention programs;

Apply techniques such as stepwise logistic regression, decision tree

categorization, Chi-square test, etc. to achieve accuracy and parsimony

in model building, which involves reducing the number of independent

variables from a few thousand to a dozen or so.

Write reusable SAS programs utilizing various features(including SAS

Macro and SAS Enterprise Miner) for efficient model building.

Implement semi-automated SAS programs to collect data from a variety

of sources and assembly them into one used for data mining.

Conduct evaluation on performance of existing models on a regular

basis and make preliminary analysis in findings report.

Provide Ad Hoc analysis with SAS and Excel on requests from the

marketing teams.

Research Assistant, University of Illinois at Urbana-Champaign, Aug 2005-

Aug 2007

Developed online statistical analysis and predictive tools via linear

regression and smoothing techniques to assess performance of CVBs

(Convention and Visitors Bureaus) under Illinois Bureau of Tourism based

on longitudinal data;

Implemented the online applications on SQL database to dynamically

display performance statistics of the CVBs;

Wrote web applications to conduct online experiments for study of

consumer behaviors (2005, 2006).

Student Statistical Consultant, University of Illinois at Urbana-

Champaign, Jan 2007-May 2007

Collaborated with other team members to consult for the University

Library on price trend of subscribed journals;

Applied a variety of techniques, including analysis of variance (ANOV)

and linear regressions with fixed and randomized effect, to analyze the

data;

Wrote the statistical analysis part of the report and presented the

results in a plain and simple way to the client.

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