Data Assistant

Shaocheng Peng

**** *** ***, **********, ** ***** 732-***-**** ************@*****.***

EDUCATION

Rutgers University, New Brunswick, NJ

Master of Science in Biostatistics GPA: 3.50 05/2019

Hebei Agricultural University, Baoding, Hebei, China

Bachelor of Science in Animal and Plant Quarantine GPA: 3.45 06/2017

TECHNICAL SKILLS

Languages&Tools: SAS (SAS/BASE, SAS/STAT, SAS/FUNCTION, SAS/GRAPH, SAS/PROGRAMMING, SAS/SYSTEM REPORTING, MACRO/PROGRAMMING, SAS/SQL, SAS/MACRO), R, Python, SQL, MS Office, Tableau

Statistics&Modeling: Hypothesis Testing, Data Visualization, Data Mining, Regression (residual analysis, outlier, influential point analysis, model selection), Predictive Modeling, Statistical Programming

Certificates: SAS Certified Base/Advanced Programmer for SAS 9

PROJECTS

CHD risk factors identification for 4500 simulated patients’ data by SAS, Biometrics Computing 10/2017-12/2017

Sorted and merged different data set regarding patients’ demographics/ blood pressure/ CHD history/ cholesterol measurement/ glucose etc.

Identified missing data, checked typos, inappropriate unit measurements using conditional statement/select statement, and performed data cleaning process.

Checked normality/distribution of data within two CHD groups using proc freq and univariate analysis.

Applied statistical analysis to identify risk factors for CHD using t-test, Chi-Square test, Wilcoxon Signed Rank Test, ANOVA, performed data visualization, logistic regression model, produced summary reports.

Prediction of cancer mortality rates at US counties by SAS, Adv Regression Meth for PH 11/2017-12/2017

Collected data, applied data cleaning, exploratory analyses, such as summary statistics, plots, graphs, univariate analysis, multivariate analysis.

Applied model diagnostic, residual analysis, identified outliers/influential observations/multicollinearity.

Applied model selection, provided model remedies such as Box-cox transformation.

Model selection for the Hepatocellular Carcinoma by R 04/2018-05/2018

Collected data, applied data cleaning, exploratory analyses, fit cox regression model.

Applied model diagnostic, residual analysis, identified outliers/influential observations/multicollinearity.

Applied model selection, provided model remedies/transformation for martingale residuals.

Real Estate price estimate Zillow by R 07/2018-08/2018

Validated and imputed real estate data. Conducted exploratory data analysis to understand data distribution and correlations

Built a regression model to predict housing price from end to end, then learned about generic issues in all machine learning projects.

Analyzed residual plot to detect violation of assumptions and added transformed features to Improved model performance

EXPERIENCE

Assistant Trader, Caida Securities Co., Ltd, Shijiazhuang City, China 02/2017-03/2017

Read IPO preliminary prospectus, calculated new stock prices, participated in the Price inquiry and offline subscription, conducted 4-week test of the self-operated stock option business system to ensure it worked.

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