SAS Analyst Resume Princeton, NJ - Hire IT People

SUMMARY:

4 years’ experience in analyzing data, designing, developing and testing models in SAS.
4 years’ experience with MATLAB in mathematical modeling involving linear regression, Monte Carlo simulation on European and American options as well as other financial derivatives like futures options, Heston models.
Solid background in performing business analysis such as Retail Credit Risk Management, Marketing Campaign designing and developing SAS code with high efficiency, maintainability and readability.

TECHNICAL SKILLS:

SAS Skills: SAS/BASE, SAS/STAT, SAS/MACRO, SAS/SQL, SAS/ACCESS, SAS/ODS, SAS/GRAPH

Database Skills: Oracle, Microsoft SQL Server

Programming Language: Python, MATLAB, SQL

Design Tools: ERWin, MS Excel, PowerPoint, Word

OS: Windows XP/7/8, Linux/Unix

PROFESSIONAL EXPERIENCE:

SAS Analyst

Confidential, Princeton, NJ

Responsibilities:

To find out the potential relation between default behavior and input factors, performed logistic regression with PROC LOGISTIC and figured out the regression equation.
Based on logistic regression analysis, forecasted a list of customers with different delinquency history to see the probability that they would default in the future.

SAS Analyst

Confidential, Princeton, NJ

Responsibilities:

According to data mapping file, select and extract samples from a list of raw dataset, eliminate duplicates, create a one - subject-per-row dataset using SAS/BASE, SAS/SQL.
Using the Simple Random Sampling method and Confidential, a Confidential is developed so that original data set can be split to three same-volume dataset, further to Modeling, Validation (choosing modeling), Model performance testing.