CHUQIAO HU

D allas, T X, * ****(***)*** - ****chu@smu. edu

S UMMARY

*-**** ********** ** *********** programming with SAS, R and manipulating data with SQL Server.

Extensive experience in predictive modeling, statistical analysis and data mining.

Self-motivated and detail-oriented masters graduate in statistics and data analysis.

S KILL S

C ertifications: Certified Advance Programmer for SAS 9, Certified Base Programmer for SAS 9

T echnical Skills : SAS, SAS Enterprise Miner, R programming, MATLAB, Minitab, Microsoft SQL Server, Microsoft EXCEL

E DUCATION

S outhern Methodist University, Dallas TX

Master of Science: Applied Statistics and Data Analysis (May 2016) GPA: 3.9/4.0

Coursework: Regression Analysis, Multi-Categorical Data Analysis, Survival Analysis, T ime Series Analysis, Experimental Design

C apital Normal University, Beijing China

Bachelor of Science: Applied Mathematics (June 2014) GPA: 3.7/4.0

W ORK E XP ERIENCE

S tatistical Consultant Intern February 2016 - May 2016

Head Start of Greater Dallas, Dallas TX

Coordinated with client for data cleaning on demographic information data of 241 students and 68 teachers using SAS SQL.

Implemented multiple imputation by SAS in 10 percent missing in students academic score to avoid bias in the final result .

Conducted data analysis by MIXED ANOVA to identify 4 main contributors affecting students acade mic performance and

applied s tatistical analysis to develop new curriculums for students and adjust teachers arrangement to class.

T eaching Assistant of Statistics and SAS Programming September 2015- May 2016

Southern Methodist University, Dallas TX

Instructed students with statistics methods to tackle with data analysis question and provided assignments feedback.

Led the practical s essions to present data analysis process implementing SAS programming c overed by the cours e to s tudents .

Helped students to prepare SAS BASE certification exam and developed the passing rate by 10%.

P ROJECT E XP ERIENCE

S AS Shootout Competition-- An Aging Population, Dallas TX February 2016 - May 2016

Assembled demographic data of changing population in the current 30 years with SAS SQL to provide descriptive statistics.

Constructed AR time series models in SAS to forecast population from diverse disease and labor force groups in the next 60 years.

Simulated the variance perturbing factor for the projected population to predict the total cost of 2 diseases: Asthma and Septicemia

using SAS BASE to assess healthcare improvement.

Predicted the revenue flow and outflow of Social Security based on tax c ontribution from the industries and the number of

elderly provided suggestions on reasonable policies to put off the depletion time.

L ogistic regression in predicti ng c ardiovascular disease, Dallas TX November 2015-December 2015

Consolidated 423 c ardiovascular disease data from 3 countries and filtered 37 from 77 raw attributes to ensure the data quality.

Constructed 3 logistic models for dichotomous and polychotomous response variables based on the existence or severity of

disease to identify the potential risk factors for cardiovascular disease and detect clinical difference in mechanism.

Assessed logistic regression model performance by ROC and compared the prediction accuracy with the results from

random forest algorithm and the published literature to validate the model.

P redicted the 4-levels severity of cardiovascular disease by baseline category and cumulative logit model with 53% and

46% prediction accuracy respectively.

M onte Carlo Simulation Analysis for Roulette Wheel Betting Systems, Dallas, TX October 2015-December 2015

Simulated three popular betting systems with Monte Carlo simulation using R programming

Created new strategies for betting systems and evaluated the efficiency of strategies.

Developed the efficiency in perspective of w inning amount per session by 50% using one of the new strategy c reated.

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