Data Sales

Karen DI HAO

* ****** **, ******** ** ***** Cell: 848-***-**** E-mail: ********@*****.***

SUMMARY

Proficient with SAS (BASE/Macros/Graphs/STAT/ODS/SQL), R, Excel, Stata, Java, C++, Matlab programming;

In-depth understanding of standards specified to clinical trail like CDISC, FDA, ICH, MedDRA, WHO DRUG, SDTM, ADaM;

Experienced in data analysis on large dataset, predictive modeling, hypothesis testing and statistical consulting;

Creative, detail-oriented, dedicated statistical analyst and programmer. EDUCATION & CERTIFICATION

Master of Science: Statistics Rutgers University, New Brunswick NJ 09/2013 to 12/2015

Bachelor of Engineering: Information Engineering Beijing Technology and Business University Beijing 09/2009 to 05/2013

SAS Certified Base Programmer for SAS 9 SAS Certified Advanced Programmer for SAS 9 EXPERIENCE

Clinical SAS Programmer (Full-time) 06/2015 to 03/2016 BDM Consulting, Inc.

Programming in Phase I-III clinical trial projects base on SAP and Protocol; Created reusable Macros to simplify work procedures; Use statistical methods to perform efficacy and safety analysis including ISS/ISE on various projects. Developed and validated SDTM data mapping and SDTM datasets per CDISC standard; Performing programming validation to ensure the quality ADaM and TFLs; Created annotated CRFs and Define.xml for eSubmission; Develop programs for patient profiles and ad-hoc reports for data review to support clinical teams.

Research Assistant, Program Evaluation Consultant 09/2014 to 03/2015 Technical Consulting & Research, Inc.

Generated 3D-pie plots, Likert plots and Histogram to investigate the experience in travel and tourism of alumni from different countries; Utilized R to conduct preliminary data analysis, correlation analysis, CHAID analysis; Wrote report drafts and provided statistical advices for program improvements. COURSE PROJECTS

Data Mining: Musk Classification ( Using R )

Compared several data mining classification methods (LDA, FDA, Logistics regression, tree, SVM, boosting and random forest etc.) to figure out the most reliable model to do the prediction. Presented the findings in class and wrote the final report, listing all the test errors as criteria and choosing an SVM model with certain parameters as the final model.

Time Series: Simulated Model for Mortgage Rate ( Using R ) Developed an ARIMA model to summary the activity of mortgage rate and form reliable forecast. Utilized R to stabilize raw data and do time series analysis, proposed several models and check the validation of each of them. Identified a best model based on their complexity and rolling forecast errors.

Exploratory Data Analysis: Sales of Orthopedic Equipment (Using SAS) Generated a list of potential customers to maximize the profits. Utilized SAS to do data transformations, factor analysis, cluster analysis, regression trees and estimated potential gains in sales.

Regression Analysis : Investigation on Cereal Rating Data ( Using R ) Constructed a regression model for the cereal data and developed a rating system. Utilized R to do initial data exploration, model selection

(forward, backward, stepwise methods) and model verification(check for multicollinearity, heteroscedasticity. and normality of residuals).

Interpretation of Data: Analysis on housing affordability across states in US ( Using SAS ) Investigated the current status of housing affordability in New Jersey, Kentucky and Pennsylvania. With the help of SAS, generated descriptive plots and tables for comparison, performed logistics regression to figure out the relationship between housing affordability with other socio-economic factors.

Contact this candidate