data analysis, data mining, database, programming (SAS, R, Java, SQL)

**l* Lea Dr XIAOLEI WANG Phone: 412-***-****

Cheswick, PA 15024 Email: ********@*****.***

SUMMARY OF QUALIFICATIONS

Proficient in Data Mining tools, database and programming

Highly interested in data analysis, statistical modeling in guiding enterprise decision making

Problem solver and critical thinker

Great communication skills

EDUCATION

University of Pittsburgh, School of Information Sciences Pittsburgh, PA

M.S. in Information Science Aug 2014 - Apr 2016

Chinese Academy of Sciences Wuhan, China

Ph.D. in Genetics Sep 2001 - Mar 2005

Huazhong Agricultural University Wuhan, China

B.S. major in Biology & minor in Business Marketing Sep 1994 - May 1998

SKILLS SAS, R, SQL, Python, Java, PHP, Excel

CERTIFICATE

SAS Global Certification program: SAS 9 Certified BASE Programmer

SAS Global Certification program: SAS 9 Certified ADVANCED Programmer

PROFESSIONAL EXPERIENCE

University of Pittsburgh School of Medicine Pittsburgh, PA

Research Associate Jul 2005 - present

Designed and led research on mining new bioinformatic targets as potential therapeutic agents, from large-scale genomic and proteomic libraries

Developed tools in R, SAS, Tableau and Excel to perform statistical analysis, regression analysis on major variables, providing bioinformatics support to all collaborative laboratories

Trained graduate students, medical professionals and high school students to perform experimentation

Collaborated with pharmaceutical companies in new drug development and commercialization; involved in patent applications and establishment of a start-up technology company

Chinese Academy of Sciences Wuhan, China

PhD candidate Sep 2001 - Apr 2005

Headed the project of applying computational phylogenetic methods to identify bioinformatic clusters that share common genetic ancestry; Routinely used SAS to analyze data, perform statistical tests and regression analysis

RELATED PROJECTS AND COURSEWORK

Data Mining Project

1.Used 2010 Medicare dataset of itemized expenditure in senior citizens (65+ yr, 50 million patients) to identify top predictors in Medicare expenses, generating critical information to 1) help Medicare in budgeting and financing; 2) predict Medicare expenditure based on individual’s medical conditions and demographics.

2.Applied multiple Data Mining tools in R and obtained consistent results: Linear and Logistic Regression, K-Nearest Neighbor, Support Vector Machines and Decision Tree.

Database Management Project

Used PHP, Java and MySQL to create an on-line transaction processing system (OLTP) to operate transactions and allow various query functionalities on the database.

Software Engineering Project

Analyzed and designed a software solution, aiming to maximize revenue and minimize operation costs.

1.Conducted mock client requirement meetings throughout the project

2.Wrote use cases and requirement documentation

Business Strategy, Marketing Management, Fundamentals of Accounting, Commercial Law

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