Marketing Data
Resume:
W
University
Parkway, Mengchun
Baltimore,
Maryland,
***** ******@***.***
Specialized
in
using
statistical
models
and
tools
to
identify
patterns
from
complex
datasets
and
predict
trends
to inform
business
decisions. Skilled
at
applying
quantitative
analysis
techniques
in
data- driven
marketing.
SAS
Certified
Advanced
and
Base
Programmer
SQL
R
C++
Advanced
Excel EDUCATON
The
George
Washington
University Washington
DC Master
of
Science
in
Statistics
(GPA:
3.8/4.0) May
2015
• Key
Courses:
Multivariate
Statistics,
Regression
Analysis,
Data
Mining,
Database
Management
System
• Teaching
Assistant
for
two
semesters
covering
both
graduate
and
undergraduate
statistics
courses,
including advising
students
on
their
projects
and
academic
challenges
and
grading
assignments
and
exams. Sun
Yat- sen
University Guangzhou,
China Bachelor
of
Science
in
Mathematics
and
Computer
Science
(GPA:
3.7/4.0) June
2013
• Key
Courses:
Real
Analysis,
Mathematics
Statistics,
C++
Programming,
Data
Structure
and
Algorithms
• Honored
as
an
Excellent
Student
Leader
for
taking
on
the
leadership
role
in
bridging
the
student
body
with
faculty members
to
improve
both
the
academic
and
cultural
experience
on
campus. RESEARCH
PROJECTS
Data
Mining
with
R
-
Effectiveness
of
a
Bank’s
Marketing
Campaign April
2014
• Built
an
ensemble
model
with
random
forest,
neural
network
and
support
vector
machines
algorithm
to
predict
the purchase
behavior
of
prospect
customers.
• Identified
the
top
three
drivers
most
relevant
to
the
customers’
willingness
to
enter
into
a
term
deposit
contract and
increased
the
conversion
rate
from
8%
to
90.86%
as
a
result
of
a
precisely
targeted
marketing
campaign. Constructing
Relational
Database
with
SQL
-
Apartment
Management
System
of
DC
Metro
Area July
2014
• Compiled
dozens
of
variables,
simulated
fake
observation
data,
assigned
attributes,
specified
primary
and
foreign keys,
and
derived
unary
and
binary
relationships
of
tables.
• Developed
the
Entity
Relationship
Diagram
and
built
out
a
relational
database
with
critical
functionalities
so
that
the information
about
the
apartments
in
the
DC
metro
area
can
be
easily
tracked,
updated
and
shared. Regression
Analysis
and
Data
Visualization
with
SAS
-
Macroeconomics April
2014
• Established
linear
regression
models
with
six
explanatory
variables
and
based
on
97
groups
of
empirical
data
to predict
the
Gross
National
Product
of
100+
countries.
• Conducted
hypothesis
testing,
ANOVA
analysis
and
assumption
checking
to
improve
the
model,
and
interpreted
and visualized
the
outcomes
in
final
reports. PROFESSIONAL
EXPERIENCE
American
Institutes
for
Research,
a
large
behavioral
and
social
science
research
organization Washington
DC Quality
Control
Intern June
-
August
2015
• Derived
insightful
and
actionable
interpretations
of
test
assessment
data
to
help
educators
improve
teaching.
• Validated
live
data
from
over
one
million
student
records
by
using
VBA
queries
to
check
the
truncation, specifications
and
value
of
key
variables.
• Enhanced
data
integrity
by
ensuring
completeness
and
consistency
through
scrubbing
more
than
50,000
data
files. State
Administration
of
Foreign
Exchange,
a
government
agency
affiliated
with
the
Central
Bank Guangzhou,
China Statistics
Intern March- April
2013
• Analyzed
the
foreign
exchange
transaction
data
of
numerous
enterprises
over
a
period
of
five
years,
assessing industry
trend
and
identifying
anomalies
for
potential
violation
of
regulations.
• Designed
and
executed
the
data
analysis
project
under
minimum
supervision,
including
determining
sample selections,
extracting
data
from
multiple
sources,
validating
data
quality,
and
conducting
statistical
analysis
of integrated
reports.
HSBC
Bank Guangzhou,
China
Marketing
Intern July
-
September
2012
• Consolidated
and
maintained
the
customer
database
to
help
build
a
customer
segmentation
model
for
enhancing marketing
effectiveness.
• Supported
the
marketing
&
sales
team
by
organizing
marketing
events,
drafting
sales
summary
and
evaluating
team performance.
Contact this candidate