Sas Certified Programmer Resume
5.00/5 (Submit Your Rating)
Objective: To apply the skills I have garnered as a Statistician and SAS Programmer in corporate world, and further my career goals.
Education
- Masters of Science: Mathematics with Applied Statistics,
- Masters of Science in Statistics, with Honors
- Bachelor of Science, Majors: Statistics, Mathematics and Physics, with Honors
Relevant Experience
SAS Certified Programmer 2008 - PRESENT
- Skilled in PROC SQL, GLM, FREQ, UNIVERIAATE, ANOVA, REG, LOGISTIC ,SORT, SAS MACROS, EXPORT, SAS GRAPH, SAS IML, combining large relational datasets, creating data structures, managing data, exporting data and generating reports.
- Trained in Experimental Design, Probability and Statistics, Multivariate Statistics, Regression Analysis, Sampling Techniques, Stochastic Process and Econometrics, GARCH and ARIMA with a heavy emphasis on predictive modeling using SAS.
- Knowledge of CDISC data.Adept in MS Excel, Access, Ms Power Point, SPSS, Minitab, R and E-Views.
- Data mining: Classification, Clustering and Neural Networks using SPSS, SAS and Minitab.
Graduate Assistant, Confidential January 2009 - PRESENT
- Responsibilities include helping professors in large lecture halls, grade exam/assignments.
- Coordinate six recitation sessions every week to reinforce classroom lectures.
- Administer general tutoring sessions to assist all math students with their course work.
Lecturer, Confidential June 2006 - July 2008
- Taught Probability and Statistics, Econometrics, Design of Experiment and Business Mathematics at the undergraduate level.
- Conducted Statistics Practical classes using SAS, SPSS, Excel, Minitab and R.
- Supervised undergraduate research projects.
Research Associate, Confidential May 2002 - May2004
- Updated and ran routine statistical analyses using Excel, MS Access, SAS and other programming packages.
- Performed data analysis to study the creditability of the borrowers and potential risk among banking products (deposit and loan).
- Worked with the Planning and Strategy Department to work out a 5-year growth model.
- Worked for projects initiated by Treasury Department using statistical techniques like: correlation between interest rate and remittance, probabilities of loan being bad debt, regression analysis of the interest rate swap, predictive modeling of treasury market in the country.
- Closely worked with CIO data mining (fraud detection, target marketing, and classification).
Academic Achievements
- Awarded departmental scholarship for being among the top four graduate students in the Department of Statistics,