Fiona Wang UIUC Econometrics and Quantitative Economics Resume
1. Fiona
Wang
302E
John
Street,
Champaign,
IL
61820
Tel:
217-‐979-‐1339
Email:
mow2@illinois.edu
UIUC
Econometrics
and
Quantitative
Economics
with
a
good
mix
of
data
analytics
and
business
process
optimization
experience
at
international
companies
and
a
strong
statistical
background.
EDUCATION
University
of
Illinois
of
Champaign
Master
of
Econometrics
and
Quantitative
Economics
Dec,2017
Jilin
University,
China
Bachelor
of
Economics
in
International
Economics
and
Trade
Jun,2016
Bachelor
of
Management
in
Accounting
Jun,2016
Relevant
Courses:
Method
of
Applied
Statistics,
Advanced
Econometrics,
Advanced
Macroeconomics,
Liner
Algebra
PROFESSIONAL
EXPERIENCE
Bandung
Hong
Kong
Investment
Co.,
Ltd.,
Hong
Kong,
Business
Analyst
Jul/2014-‐Aug/2014
•
Design questionnaires to collect information and analyze the data use Excel
•
Build
existing
data
infrastructure
in
SQL
Server
by
collecting
and
scrubbing
large
sets
of
raw
data
• Construct predictive models in R which estimate pricing trend to enable sourcing optimization
and cost reduction
Beijing Infoark International Trade Co.,Ltd.,Beijing Jul/2015-Now
•
Responsible for more than 5,000 dossiers’ sorting and entry use Excel
•
Make analysis report of international products’ marketing and trade and analyze massive data
in R, constructed analytical models
•
Optimized processes of analytical tools and reports, automated time-consuming work by
scripting in R
College Students' Innovation Challenge Competition May/2014 – Aug/2014
The Research of Urbanization in China
• Study the conditions, processes and restricting factors of urbanization development;
• Responsible for sourcing, analyzing and processing all the data used in the project;
• Make diagrams and figures to analyze the similar economic development about different rural
areas in Excel and STATA
• Work out situational hypotheses of many realistic conditions based on data and information
SKILLS
Database and Reporting tools: SQL, Hive
Programming Language and Statistical tools: R, SAS
Languages: Proficiency in Mandarin and English