Data Project

Jieling Wang

*** ********* ******, *********, **, 18015

484-***-**** ******@******.*** ************@*****.*** QUALIFICATIONS

• Solid statistical knowledge in descriptive/predictive modeling (such as linear regression, GLM, tree-based models and time series) and methodologies (such as clustering, segmentation, experiment design, model validation, data mining)

• Proficiency in data manipulation, data visualization and implementation of statistical algorithm utilizing SAS, R and SQL combined with demonstrated skills in big data analysis in distributed system using Java

• Hands-on objective programming skills in VBA, R, Java and C

• Skillful usage of Excel, Access, PowerPoint, Outlook and Hadoop

• Exceptional leadership, problem solving, multi-tasking, communicational and presentation skills EDUCATION & CERTIFICATE

Lehigh University, Bethlehem, PA 2014 - 2016(Expected) M.S. in Statistics

Huazhong University of Science and Technology (HUST), Wuhan, China 2010 - 2014 B.Eng. in Computer Science and Technology

SAS Certified Base Programmer for SAS 9 Dec 2014

SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Dec 2015 Relevant courses: Stochastic Process, Data Analytics, Time Series Analysis, Statistical Computing, Linear Models in Statistics, Mathematical Statistics, Design of Algorithm, Java Programming, SAS Programming PROFESSIONAL EXPERIENCE

Data analyst, China Telecom Co.ltd, Hubei, China May 2014 - Jul 2014

• Built churn model of telecom users applying the concept of GLM through input segmentation and model selection, measured model performance via cross validation and visualized performance through ROC curve; provided sugges- tions in order to retain users according to fitted high performing cluster

• Provided data support for optimizing website through multi-dimensional user behavior analysis which includes user type, user customization behavior, merchandize buying behavior, payment behavior and registration behavior

• Performed telecom user segmentation using k-means clustering method in R

• Delivered presentations of analysis that translate analytical insights into actionable solutions to colleagues and leaders Analyst, Jenkee Consulting co.ltd, Beijing, China Feb 2013 - Apr 2013

• Designed, distributed and analyzed user questionnaires which include user satisfaction survey and user background information; adjusted the weighting coefficients to enrich logic and insight of data in SPSS

• Performed reliability analysis and assessed validity through principal component analysis in R

• Set index system of telecom users’ satisfaction based on America Customer Satisfaction Index model (ACSI)

• Analyzed the distribution of manifest variables and conducted Chi-Square test and difference test in R RELEVANT PROJECT

Logistic Regression Model Implementation and Data Analysis (SAS IML) Lehigh University Nov 2015 - Dec 2015

• Designed and implemented the SAS procedure – PROC LOGISTIC for binary data on SAS platform utilizing SAS IML, MACRO and SGPLOT through the method of Iteratively Reweighted Least Square based on Fisher Scoring

• Decided significant level of parameter both individually and globally by performing hypothesis test and inference

• Optimized model by building diagnostics checking module and fitness test module

• Presented and articulated project results to audiences Optimized 1-bucket-theta Algorithm via MapReduce (Java) HUST Feb 2014 - Jun 2014

• Implemented Theta Join from structural database for large scale tables in Hadoop platform and MapReduce pro- gramming model utilizing Java

• Designed new algorithm based on popular 1-bucket-theta algorithm in Theta Join in order to reduce network over- head between mapper and reducer and processing time by eliminating unnecessary input data prior to mapping stage

• Equilibrated time complexity by determining an appropriate number of buckets via approximate binary search

• Validated the new algorithm both theoretically and experimentally to demonstrate the improvement in efficiency Bio-Statistics Modeling and Analysis (SAS, R) Project, Lehigh University Mar 2015 - May 2015

• Analyzed prostate cancer data from traditional and genetic levels to predict recurrence of prostate cancer

• Constructed, Fitted, diagnosed and optimized a logistic regression model for prostate cancer data

• Developed data mining tool utilizing random forest and SVM to improve predictive power Baseball Dataset Study (R) Project, Lehigh University Sep 2015 - Oct 2015

• Conducted Exploratory Data Analysis (EDA) to get visual summary and check underlying assumptions via 4-plot

• Detected significance of nuisance factor both quantitatively and qualitatively based on ANCOVA analysis

• Fitted, diagnosed and selected a regression model for baseball game management dataset

• Evaluated multicollinearity effect and resolved by principal component regression, ridge regression and partial least square regression to improve efficiency of the model

• Produced insights of association between salaries and other characteristics of players in R Automobile Rents Management System (MS SQL) Project, HUST Oct 2012 - Nov 2012

• Designed data flow diagram and data dictionary to obtain ER diagrams and relational model

• Implemented business management, report query, system maintenance and backup of the renting system

• Enabled browsing and updating authorities based on different privileges

• Checked rental history records and generated financial statements ACTIVITIES

Analyst, Statistics Bureau, Hubei, China Jun 2013 - Aug 2013

• Transported individual database from Joint Cheer schema software according to requirement and then tested and evaluated industrial standard and quality of data

• Summarized product report of industrial section using Integrated Business Enterprise System

• Composed and edited monthly report of national economic analysis Researcher, Credit Department, Agricultural Bank of China Feb 2012 - Mar 2012

• Assisted customer manager to manage customer relationship and administrative projects Teaching Assistant of Basic Statistics (Math 012), Lehigh University Sep 2015 - Dec 2015

• Prepared and delivered recitation lectures about descriptive statistics, probability distribution, hypothesis testing and inference, regression analysis and analysis of categorical data LEADERSHIP EXPERIENCE

• Vice Director of Environmental Protection Association at HUST Sep 2011 - Jun 2012

• Organizer of Pizza Hut Green Superman Environmental Education Activities Mar 2011 - Jun 2012

• Group leader for an innovation program – Message in a Bottle at Universities (nationwide) Sep 2012 - Dec 2012

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