Data State University

XIAOWEI ZHANG 614-***-****

*** ****, ***** ******, ***. 1407

New York City NY 10025

******@********.***

Data Scientist

P ROFILE

Ø Master of Science in Data Science along with Bachelor of Science in Actuarial Science (Summa cum Laude) with comprehensive theoretical and applied studies backed by qualifications and experience including: ü P, FM and MFE exams passed; SOA

ü Economics and Statistics requirements passed; VEE ü Capitalized on opportunity to gain real world experience as Healthcare Analyst Intern in various audits and reviews on behalf of Centers for Medicare and Medicaid Services; 2016 ü Collaborated as Research Assistant in conducting behavioral study subsequently published in New York Times and The Onion; 2015-2016

Ø Sharp data generation, analysis, documentation, and reporting skills Ø Adept in planning, coordinating and managing workflow/projects to optimize productivity and efficiency, meet deadlines and achieve performance goals

Ø Technology savvy, with proficiency in Java, C++, Python, SQL, Spark, Hive, Wrangler, SAS, Minitab, Excel, Access, Tableau, and CARTO

Ø Strong communication and interpersonal relation skills instrumental to productively interfacing with all stakeholders; bi-lingual English and Chinese

E DUCATION

Master of Science-Data Science, Columbia University-New York, NY; Dec 2016 GPA: 3.67/4.0 scale

Bachelor of Science-Actuarial Science, The Ohio State University-Columbus; May 2015 Minor: Statistics and Economics

GPA: 3.97/4.0 scale; graduated Summa cum Laude

WORKING E XPERIENCE

HEALTHCARE ANALYST INTERN, Hay Group Inc.-Philadelphia, PA 2016

§ Collaborated in auditing and reviewing CY 2016 bids for Centers for Medicare and Medicaid Services

§ Efficiently assessed and determined reasonableness of trends based on complex healthcare data; included analyzing data across wide range of high-profile healthcare issues via Excel spreadsheets (Pivot Tables and Macros)

§ Thoroughly reviewed rate filings and recommended strategic changes to quarterly premiums along with cost and utilization rates based on findings

RELATED E XPERIENCE

AVIATION SAFETY, Synergic Partners, -Madrid, Spain 2016

§ Created a distributed scraping system and gathered 24 days of Flights information with python BeautifulSoup

§ Designed

a

detection

algorithm

with

PostgresSQL

and

identified

flights

with

possible

air

conflicts

§ Employed

feature

engineering

techniques

and

generate

useful

features

including

air

traffics

§ Built

a

random

forest

classification

model

with

scikit- learn

and

evaluated

performance

with

cross

validation

§ Produced

a

dashboard

to

present

the

result

with

Tableau

§

INVENTORY MANAGEMENT WEB APPLICATION FOR CLOTHING BUISNESS 2016

§ Designed database schema with ER modeling

§ Translated the model into Postgres on Google Cloud Platform and loaded the data

§ Built the front end on top of the Flask Python Webserver for users to interact with the database and generated insights

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