DAVID PREMPEH

**** ********* ***** ****** ** ****6 •404-***-**** • wjdsnm@r.postjobfree.com

WORK HISTORY

*/ **** – present Statistic Analyst intern

CRIF Lending Solutions Atlanta, Georgia

Loan and Account Origination risk and scorecard development, Outsourced Loan Processing, Performance Analytics using SAS and SQL.

Developed gap analyses on various projects citing the gap between model-development/reporting needs and the current data mart configuration.

Applied various statistic techniques such as: Data Mining, Segmentation, Decision-tees, logistic Regression, Predictive Modeling, credit scoring on large datasets to build consumer credit risk models using SAS 9.3 & Enterprise Miner 7.1.

Designed models and SAS Macros to assist clients in reducing their incidence of bad debts. This maximized their collections and led to higher profits.

2/ 2011 – 12/2011 Graduate Research Assistant -Office of the Provost and Vice President of Academics Affairs Kennesaw State University Kennesaw, Georgia

Assisted in Setting up the Recruitment, Retention, and Progression to Graduation (RRPG) pilot program for Hispanic/Latino students at Kennesaw State University

Applied statistical modeling methods to interpret data and create an efficient record keeping database which assists management in disbursement of scholarships using MS Access and SQL.

Utilized SAS and MS Excel to perform various queries and analysis on data as needed for efficient running of the pilot program.

10/2007 – 5/2009 Assistant to Director Finance and Administration, Research and Statistics Dept. Associate. Ministry of Energy, Accra, Ghana

Gathered, compiled and analyzed staff and inventory data, and reconciled to the department of energy database-systems which improved staff efficiency. This was achieved using SPSS and MS Access.

Supported department through regional information processing and field work reporting.

Performed in-depth financial, economic & statistical analysis of data and interpreted and forecasted trends.

Re-engineered the data management processes which resulted in complete automation of information storage and retrieval. This led to significant cost savings.

5/2006 – 9/2006 Assistant at the Actuary Department

Social Security National Investment Trust (Internship) Accra, Ghana

Helped developed efficient and consistent projection models to improve risk-management

Performed actuarial analysis and predictive calculations related to lump-sum payments and annuity payments.

Computed death, early retirement and survivor benefits for the pension scheme using MS Excel.

EDUCATION

12 /2011 Master of Applied Statistics. GPA: 3.8

Kennesaw State University Kennesaw, Georgia

5/2007 Bachelor of Science, Dual Major Mathematics and Computer Science University of Ghana Legon, Ghana

PROJECTS

Graduate School Project: Multivariate Analysis Kennesaw, Georgia

Developed model to analyze the effect of major stock prices and economic indicators on the price of crude oil using SAS 9.2. Multivariate analysis was conducted on available data from www.economagic.com to investigate significant predictors of oil prices; to find out if predictors show the same trends and strength of prediction across different time periods; and determined predictions accordingly.

CERTIFICATES AND AWARDS

SAS Certified Base Programmer For SAS 9.2

Who’s Who Among Students In American Universities & Colleges(2011)

Oracle Certified Associate (in progress)

SOFTWARE SKILLS: Microsoft Office tools; Project, Access, Excel, Outlook, PowerPoint, Word,,Visio, SAS Base programming, Advanced SAS programming, SAS Enterprise Miner 7.1, SPSS, R, Minitab, JMP, SQL, Visual C++, C++, Visual Basic, Java, HTML, Adobe Dreamweaver, Crystal Reports, Oracle.

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