BISMARK BAIDOO

tqox8n@r.postjobfree.com

**-** **** *** *** 15E

Corona NY

520-***-****

US. Permanent Resident

Education:

University of Arizona, Tucson, AZ May, 2009

• Master of Science in Resource Economics

• Specialization: Applied Econometrics

• Relevant courses: Advanced Applied Econometrics, Applied Econometrics, Econometrics, Mathematical Statistics.

Kwame Nkrumah University of Science and Technology, Kumasi, Ghana Dec, 2004

• Bachelor of Science in Agricultural Science

• Specialization: Agricultural Economics and Management

Languages:

• English and Twi

Technical Skills:

Languages: Strong SAS programming, PROC SQL, SAS macro

Ancillary Skills: Statistical Analysis, Econometric modeling, Linear and Logistic Regression techniques, Data mining, Data segmentation, Data merging, Data cleaning, Data crunching, STATA,SPSS Clementine, EXCEL, POWERPOINT, MS WORD

Experience:

06/10 – 09/10 Columbia University

Title: Summer Data Analyst, the Earth Institute

• Did household income analysis for the Millennium Village Project to find out the percentage of people living under one dollar per day using STATA.

• Created reports of the analysis.

08/08 – 12/08 American Express Research Project

Title: Risk Modeler

• Developed predictive censored regression models to examine customers spending and revolving behavior using SAS and Econometric techniques.

• Developed predictive logistic regression models to examine customers default probability using SAS and Econometric techniques.

• Tested several statistical hypothesis from the results found.

• Presented final results of the risk analysis to American Express in Phoenix using Power Point.

• Extensively used SQL in SAS in a Risk Analysis capacity.

08/07 – 05/09 University of Arizona

Title: Graduate Assistant, Agricultural & Resource Economics Dept

• Used linear and logistic regression models, SAS and SPSS Clementine to predict the probability of farm exit in a research using data from the United State Dept of Agriculture.

• Created reports of the analysis and presented them in PowerPoint.

02/05 – 07/07 London Mutual Credit Union

Title: Statistical Analyst

• Extracted and manipulated large and complex financial data sets to support business initiatives.

• Employed multiple regression models to predict clients’ loan repayment behavior using SPSS Clementine and SAS.

• Interpreted key data and presented the findings in a clear, concise written format to senior managers using Power Point.

• Wrote quarterly reports on analysis results for the senior statistical analyst.

• Conducted and developed customer analysis to gain marketing business insights.

Contact this candidate