1. Shengbin (Ben) Lin
(806)787-3926 | linshengbin888@gmail.com | 100 E 14th st, Chicago ,IL 60605|
EDUCATION
Texas Tech University, Rawls College of Business GPA 3.7/4 Jan 2013 - Dec 2015
Master of Science, Major: Business Administration, Concentration: Business Statistics
Master of Science, Major: Management Information System, Concentration: Business Intelligence
Sichuan University, College of Manufacturing Engineering Sep 2007 - Jun 2011
Bachelor of Science, Major: Mechanical Engineering
WORK EXPERIENCE
Rawls College of B.A. , Texas Tech University, Teaching Assistant Aug2015 – Dec2015
• Lectured the Prescriptive Analytics course for graduate students with SAS/Enterprise Miner;
• Troubleshot students' technical errors and issues, for SAS and Python programming in particular;
• Guided students in interpreting predictive modeling of term projects.
Texas Tech University Institutional Research Department, Graduate Assistant Aug 2014 - Aug 2015
• Designed and deployed surveys by Qualtrics and collected survey data for further analysis - data collection
• Designed and completed the annual fact book for overall university publicity - data reporting
• Modeled prediction of Student Retention by Regression model - data mining
• Pulled and Manipulated data from Tech’s universe database for Ad-Hoc projects – data integration
Xiamen Tech Valley, Data Analyst Intern May 2014 - July 2014
• Developed an opinion analysis system for China Southern Airlines
• Created an Opinion System demo on the company's platform
• Did Customer behavior analysis for China Southern Airlines
PROJECT & COURSES
• Data Warehouse: run mysql data script, transfer data to readable, draw a data schema,
created ETL process and implemented the data warehouse in visual studio, by MSSQL, mysql
Jan 2014 - May 2014
• Real time bidding: Did research on determining the bidding strategy, used training data
set to develop two regression model to predict CTR and CPC and validation data set to
compare different subset models, then used these two KPI to get final bidding price by R
Aug 2014 - Oct 2014
• Crime prediction: Did data cleaning and integration, looked into the empirical crime data
and explore the insight of data, found out significant influence and created Poisson regression
model to predict the future crime count by using estimated future data by SAS and R
Aug 2014 - Dec 2014
• Analysis on online news popularity: did Data preprocess and variable selections, did
model exploration and checked its assumption, did model selection and compare different
models by several criteria, decided the best model and figured out the significant factors by R
Sep 2015 - Nov 2015
Courses:
Advanced Statistical Method / Regression Analysis / Non-Parametric Analysis / Business Analytics
/ Multivariate Analysis / Data Mining / Text Mining / Simulation / Marketing Strategy / etc.
CERTIFICATIONS
• SAS Certified Base Programmer for SAS9 • SAS Certified Advanced Programmer for SAS9
SKILLS
Statistical Package: Experienced in Excel, SAS Base/STAT/ETS/E-Miner/E-Guide, R Studio, SPSS
Database Skills: Proficient with SQL Server, SAS/SQL, SAS/ACCESS, MS/ACCESS, MySQL
Programming: SAS > 3 years / R > 3 years / Python / Java
Modeling:
Linear Regression, Logistic Regression, Quantile Regression, Time Series,
Clustering, Multivariate Analysis, GLM Regression, Decision Tree, Monte Carlo
Simulation, Social Network Analysis, other machine learning skills etc.