Junsheng Ye
***********@*****.***, 240-***-****
***** **** *** **, *******, MD 20854
Education
University of Maryland, College Park, MD
Bachelor of Science in Economics
Minor in Statistics May 2017
Skills
Predictive modeling: Regression
Language: English, Mandarin Chinese (native language).
Statistical Software: SAS, STATA, SPSS, PhStat of Excel, SQL.
Other Software: Microsoft Offices.
Finance/Accounting: Able to understand and analyze basic financial information from balance sheet, cash flow statement, and other accounting reports.
Relevant Course Training
For my Introduction to Statistical Computing with SAS class’s final project. I used given data on Boston housing market to analyze the relationship between the median value of owner occupied homes and other numerous factors (population without high school education, nitric oxides level, proportion of non-retail business acres, crime rate, distance to major employment centers, accessibility of radial highways, teacher student ratio, etc.).
Experience
Diamond Tools Technology LLC, Buffalo Grove, IL
Data Analyst intern Summer 2015 -Summer 2016
Using SAS to categorize customers by their preferences.
Assist in developing predictive regression models using factors which affect customer preferences such as weather location, type of road, etc
Applying regression model results to customize advisement for each customer and potential customers.
•Attending Vegas and Shanghai Diamond tools exhibitions with sales representatives.
Pfizer, Shanghai, China
Key Account intern Summer 2016
Assist in planning numerous medical related conferences that gather more than 200 doctors.
Managed conferences registration processes prior to and on day of events.
Visiting key clients to maintain costumer relations
Organize and calculate data acquired from various hospitals (Pfizer products usage, medical test scores.)
CM Equipment, Potomac, MD
Data Analyst intern 2015 – 2016
Collect sales data from Ebay.com and Amazon.com, using Excel to sort the products by location and creating customize catalogs for potential customers in different locations.