Data Management

OBJECTIVE: To obtain a full time position in statistical data analysis

and optimization techniques involving

database management and statistical modeling

using strong quantitative analysis skills.

SKILLS:

. SAS- Proficient in using basic as well as advanced SAS techniques for

database management including usage of Macros, regression tools,

logistic regression techniques, charts and SQL methods.

. EXCEL- Proficient in usage of VLookUp function, Excel Solver,

Optimization Models, Summary function, Data Analysis, Pivot Tables and

as well charts and mathematical functions.

. STATISTICAL TOOLS: Proficient in using other statistical tools like

JMP, SPC, SPSS and Minitab.

. QUANTATIVE ANALYSIS: Proficient in probability theory, operations

research techniques involving trends, simulation and complex

mathematical distributions.

EXPERIENCE

AND PROJECTS:

Quantitative Data Analysis Intern,

Gerresheimer Glass Inc. Vineland, New Jersey,

July 2009-June 2010

. Presented data report on the dimensional data of the

pharmaceutical vials coming from 18 automated machines using Excel

VlookUp function and mathematical functions.

. Performed data collection and Gage R & R statistical analysis for

accuracy and precision of mechanical and manual gauges using

Statistical Process Control (SPC) tool.

Graduate Research Assistant,

Feb 2009 - May 2009

University of Delaware, Food and Resource Economics Department

Data Integration and Database management was done for PhD

Directors of Universities across USA using SAS and Excel.

Regression Analysis (Paper and Presentation)

Demand Prediction of Actual Volume of Paint

Sales Based on Historical Architectural Paint

Consumption.

Econometric study and usage of Regression

function in SAS for regression data analysis from data

used in architectural paint consumption in US

from 1983-2006.

Optimization Models and Methods (Paper and

Presentation)

Dynamic programming method used in scheduling

for sequence dependent labor costs.

Used Excel Solver to prepare days-off

schedule for labor intensive costs based on real-time scenario

Simulation Modeling (Project and Report)

Queuing theory and Application of Quantitative

Distributions in Wachovia Bank

Reported to the bank authorities on the

number of tellers required during the rush hour and non rush

hours in real time simulation analysis using

ProModel.

EDUCATION:

M.S. in Operations Research,

Aug. 2008 - June

2010

University of Delaware, Newark, Delaware, USA

(GPA 3.20/4.00)

B. Tech. in Mechanical Engineering,

Aug 2004 - May 2008

Ganpat University, Mehsana, Gujarat, India

(GPA 3.60/4.00)

ADDITIONAL

SOFTWARE:

AutoCAD, ProE, C, C++, VBA, ProModel, JMP,

Lindo, Lingo, M.S. Project and M.S.Access.

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