SUMMARY of QUALIFICATIONS

ADVANCED STATISTICS SKILL

• In-depth knowledge of fundamental concepts of probability and statistics.

• Proficiency in various analytic techniques, quantitative analytics and predictive/risk modeling scenarios (i.e., Logistic and OLS Simple/Multiple Regression, Multivariate Analysis such as MANOVA, Principle Component Analysis (PCA), Factor Analysis (FA), Cluster Analysis and Discriminant Analysis).

• Familiar with time series analyses and forecasting such as Box-Jenkins ARIMA modeling and transfer function modeling utilizing data from longitudinal databases.

• Experienced with various experiment design techniques such as factorial design.

ANALYTICS SKILL

• Experienced with various analytic techniques on campaign or customer level datasets.

• Strong practical understanding of modeling/analytic tools and their application to business as well as principles of direct marketing and database marketing.

• Familiar with various techniques of CRM Analysis including customer acquisition, customer retention, customer loyalty, customer segmentation, customer profitability and Ad Hoc Analyses.

• Expert in various predictive modeling techniques including churn analysis and survival analysis (Cox Proportional-Hazards Regression) at customer levels.

• Profound ability in various model evaluation techniques such as deciles analysis including lift chart, lift index, gains chart, ROC curve and AUC, response rate, prediction/misclassification rate, etc..

• Experienced with various EDA techniques and predictive/ response modeling techniques including various kinds of regression analyses and decision trees.

PROFESSIONAL SAS SKILLS (SAS CERTIFIED PROGRAMMER)

• Extensive experience in SAS products including BASE, STAT, ETS, GRAPH, SQL, MACRO, ACCESS, INSIGHT, ODS, IML, EIS, AF.

• Excellent working experience using SAS to manipulate data by using BASE and SQL for merging, combining, appending, adding, and deleting row data and marking flags.

• Proficient in statistical analysis procedures like PROC MEANS, PROC UNIVARIATE, PROC GLM, PROC MIXED, PROC SUMMARY, PROC FREQ, and TTEST.

• Solid work experience generating publication-quality graphic output, using PROC REPORT, ODS OUTPUT, HTML, and RTF forms which are compatible with office software.

• Expertise in using the SAS data step to transfer data to and from Microsoft office. Able to link databases using the ACCESS, SQL and CONNECT procedures.

EXTENSIVE COMPUTER SKILLS

• Expert in statistical analytic tools such as JMP 7.0, Excel and Minitab.

• Comfortable with different operating system like UNIX, Windows NT/98/2000/XP.

• Proficiency in text formatting packages: Scientific Workplace, MS Word.

• Strong PC skills with knowledge of Microsoft Suite of Products including Excel, Word, PowerPoint, and Outlook and various Internet/Networking applications.

PROFESSIONAL EXPERIENCE

Eli Lilly & Company, Indianapolis, IN (Nov 2008 – June 2009)

Statistical Analyst, USMD (United States Medical Division)

• Assist in the development of data analysis plans through collaboration with physicians and statistical personnel, review protocol, SAP, and CRFs for the primary goal, statistical method.

• Perform User Acceptance Testing (UAT); query data management, APT team, and data movement group to establish reporting databases and analyzing clinical trial data.

• Manipulate and analyze retrieved data through SAS, compare the different subgroup to find the significant evidence for efficacy, dose, safety, and side effect. Generate TFL (table, figure and listing) for visual reports.

• Create a series of regression models in Path Analysis, build Mixed-effects model repeated measures (MMRM) and generalized linear mixed models (GLMM).

• Write annual report to summarize the finished and ongoing studies in the past year, create listing for patient disposition overall and by treatment group, and the treatment group differences was evaluated using the Fisher’s exact test for categorical variables and ANOVA model for the continuous variables.

Beijing Qiyuan Consulting Inc. ,Beijing, China (July 1999 – May 2002）

Data Analyst, Department of Measurement and Analytic

• Perform quantitative analysis including time series modeling & forecasting, spreadsheet analysis and various applications of statistical techniques.

• Analyze and mine multiple data sources to select statistically valid data samples, and builds, tests, and implements statistical models by investigating appropriate methods.

• Perform marketing data analysis and develop statistical models to enhance direct marketing efficiency. Build campaign response models. Develop meaning and actionable insights based on campaign results.

• Evaluate analytical findings to ensure accurate interpretation of data and development of meaningful data analysis results.

• Collaborate with project managers to identify and evaluate opportunities to utilize analytics to maximize marketing success and present the results of analytic projects to the reporting team.

• Explore and analyze customer information in order to provide useful marketing strategies.

Beijing Research Inst. of Mech. & Elec. Technology, Beijing, China (July 1997 – May 1999）

Engineer, Department of Vacuum Thermal Treatment Technology

• Designed and debugged various analog and digital control circuits and systems, and manufacturing / production lines of vacuum thermal treatment.

EDUCATION

• M.S. in Statistics, Sam Houston State University, Huntsville, TX (2005-2007).

• B.S. in Electrical Engineering, Xi'an University of Technology, China (1993-1997).

PUBLICATIONS

• Minter, Jason, He, Huixing and Hallum, Cecil, "SAS Applications in Support of Off-the-shelf, Affordable, WiFi-Controlled Robots", Proceedings of the 2007 South Central SAS Users Group (SCSUG 2007) Conference, Austin, Texas, pp. 450-508

• He, Huixing and Hallum, Cecil, "Multivariate Statistical Methods Applied to Digital Photo Processing in Support of Object Detection", 2007 JSM Proceedings, Salt Lake City, pp. 2398-2404.

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