Project Computer Science

Sahil Dahiya

**** ** ********* ***** *** #L**, Raleigh, NC, 27607. *******@****.***. 919-***-****.

EDUCATION:

North Carolina State University (NCSU), Raleigh, N.C.

M.S. Operation Research GPA: 3.67 MAY 2013

Uttar Pradesh Technical University (UPTU), Lucknow, India

B.tech Computer Science MAY 2011

RELEVANT COURSES AND TOPICS:

Regression Analysis

Predictive Modeling Engineering Economic Analysis

Markov Chain

Logistic regression Design and Analysis of

Stochastic Modeling algorithm

Public Policy Analysis

Applied-Microeconomics Multivariate Analysis

Cost-Benefit Analysis

Bayesian Decision Analysis Decision Trees

Markov Decision Process Neural Networks

CERTIFICATION

SAS Certified Statistical Business Analyst using SAS 9:Regression and Modeling

SAS Certified Base Programmer for SAS 9

PROJECTS

Prediction of Consumer Behavior

Analyzed bank’s large dataset, predictive modeling methods logistic regression, decision tree, clustering and neural

network were applied to predict the probability of consumer’s purchase of insurance

Factors Affecting Deprivation Cost in case of Natural Disaster/Calamity

Used utility theory to build a distribution model for improving distribution efficiencies of aid at areas affected by natural

disasters. The model, based on elicited utilities, aims to have maximum impact at ground level and minimum human

suffering

Cost-Benefit analysis on Mammography screening For Breast Cancer

Carried out cost benefit analysis of a program where women in Wake County will be screened for breast cancer by using

mammography. Analysis will determine if benefits of mammography exceed its cost. One of the key variables considered

was Quality Adjusted Life Years (QALY) and age.

Predicting crime in USA.

Regression analysis of large data set collected from a government website to scrutinize the factors affecting the crime rate

in USA.

INTERNSHIP:

LG Electronics, India as an Intern Jun-Aug 2010

Project: Study and analysis of export planning and order management.

Analyzed the large dataset related to the companies past record for On Time Delivery (OTD) trend using Excel and SAS.

Pointed out the potential problem that export team could face in future.

Recommended the possible solutions to further improve OTD. Suggestions were well appreciated and received by

superiors.

SKILLS SET:

Optimization tools: Lingo, Excel(solver),SAS/OR

Statistical and Data Mining Tools: SAS, R, Orange, WEKA, Enterprise Miner

Programming: C++, SQL, Macros

Scripting language: Python

LEADERSHIP AND VOLUNTEER ACTIVITIES:

Group Member of International Cultural Leadership Project 2012

Captain of the College Soccer team from 2009 to 2011, College Team participated in various events held regionally and

won tournament at Sharda University in 2010.

Event Head during Sumira’10 (A three day cultural fest at my undergraduate university in which students from 15 colleges

participated)

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