SANDHYA GORTHY
*************@*****.*** *** University
Street, Chattanooga
phone no: 618-***-**** TN-
37403
Objective
To pursue a challenging career and be a part of progressive organization
that gives me the scope to utilize my knowledge and skill in the fields of
data modeling/analysis and SAS programming.
Summary
. SAS certified predictive modeler using Enterprise Miner 5.3.
. SAS Certified base programmer for SAS 9.
. SAS Certified advanced programmer for SAS 9.
. Received SAS/OSU Data mining certificate.
. Sound knowledge of relational databases, MS-ACCESS, SQL, Oracle, SPSS,
STATA & MS-EXCEL including macros.
. Thorough knowledge of business systems development life cycle, project
management and various Business Intelligence tools and techniques.
. Nearly two years of experience on various data mining tools such as
regression, neural networks, decision trees, classification and
prediction algorithms on large scale datasets using SAS Enterprise
Miner, SPSS, STATA with a focus on business development.
. Good Understanding of statistical tests like sample t-test, chi-square
t-test, hypothesis testing, ANOVA, Crosstabs, Multivariate analysis,
time series analysis and various other data analysis concepts with
extensive focus on SAS.
. Experience in analyzing data and generating reports, tables, listing
and graphs etc. using SAS Enterprise Guide 4.
. Experience in employing macros and various SAS procedures like Proc
SQL, Proc Print, Proc Report, Proc Tabulate, Proc Mean, Proc Freq, and
Proc Transpose.
. Expert level skills in Microsoft Word, PowerPoint, Outlook, Access.
. Highly motivated, result oriented team player with excellent
organizational and interpersonal skills.
Education
Masters Degree in Management Information Systems
GPA-3.78
Additional coursework in Statistics and Finance
Oklahoma State University, Stillwater, OK
Bachelors Degree in Mechanical Engineering
GPA- 3.7
Jawaharlal Nehru Technological University, INDIA
Work Experience
Blue Cross Blue Shield of Tennessee
3 Months
Accreditation and Research Medical Informatics Intern
. Identifying factors affecting member compliance with evidence-based
guidelines
. A data table containing demographic, utilization, benefit
structure, enrollment history and 15 months compliance data is
extracted.
. Thorough literature review was conducted to understand business
case and its data.
. Data preparation which includes imputations, transformations,
variable and data reduction was performed.
. For each Medai measure, multiple predictive models (Logistic
regression, Decision tree, Dmine Regression, Neural and Auto
neural etc.) were built using SAS Enterprise Miner.
. PPV/NPV was used as primary measures to assess the model along
with sensitivity and specificity to explore factors driving member
compliance for each measure.
. Extensive use of SAS EM, SAS Enterprise Guide and SAS base &
advanced programming languages.
. Producing ad-hoc reports on a regular basis using data steps, proc
SQL, proc gchart, proc gplot and various other procedures.
Oklahoma State Health Department (OSDH)
4 Months
Research Assistant
. Developed a prediction model for Oklahoma State health department.
. Factors accounting for Non-Renewal of Medicaid were indentified.
. Employed CRISP-DM approach.
. Involved in data preparation, developing various models using
methodologies like Decision Trees, Neural Networks, Regression, SVM,
Ensemble and Clustering to identify the existing patterns in the data.
. Used SAS Enterprise Miner, SAS Enterprise guide and SAS Base
extensively.
Projects (Data Mining & Database Marketing)
. Developed direct response (logistic regression) models in SAS to
identify prospective and vulnerable consumers for offensive and
defensive direct mail marketing.
. Data Mining - 2009 shootout
. Top three states and counties most profitable to grow energy grass for
ethanol production were identified.
. Data on soil, weather, and plant was analyzed and cleaned.
. Developed models using various data modeling techniques to obtain the
best model.
. Employed scoring to identify the top 3 states and counties based on
the profit matrix evaluation.
. Used SAS Enterprise Miner, SAS Enterprise guide and SAS Base
extensively.
. Fund Raising Model
. Potential charity donors who would respond to a mailing campaign were
identified.
. Involved in working through various stages of data cleaning, modeling
and scoring.
. Used SPSS Clementine extensively.
. Database Management System for University Dining Services
. Designed and developed a database management system that allowed
administrator to manage employee data, schedules and weekly reports
using Microsoft Visual Studio and SQL Server 2005.
. E-commerce application - University Book Store
. Developed a 3-tier web based e-commerce application by using various
technologies like ASP.Net, XML, XSLT, HTML and CSS. The back end was
developed and maintained by SQL Server 2005.
Professional Experience at Oklahoma State University
. Graduate Assistant at Institute for Teaching and Learning Excellence
Oklahoma State University: Responsible for recording, editing and
posting media files online. Extensively converted media formats for
online viewing using conversion tools and web development tools.
. Graduate Assistant at International Students and Scholars Oklahoma
State University: Responsible for updating and maintaining student
database. Experienced in generating weekly reports and queries on the
student database.
. IT-Tech Assistant at OSU IT Help Desk: Assisted students and faculty
with computer trouble shooting, installing, configuring and upgrading
operating systems and software.
Other Professional Experience
. Project Assistant:
Dec 2007- April 2008
Bharath Heavy Electricals Pvt. Ltd, Hyderabad
. Involved in "The Heat and Flow Analysis of an Air Pre-heater"
project for calculating various physical parameters of a mechanical
structure.
. FLUENT language was extensively used for coding
Technical Skills
Programming Languages : C, C++, JavaScript, .net, VBA, XML and
SAS Base
Web development skills : HTML, DHTML, CSS, XSLT, FrontPage
Tools and Packages : Enterprise Guide 4.0, Enterprise Miner
5.3, SPSS, STATA, CART, SAP & MS-Office
Databases : SQL server 2005, Oracle and MS-ACCESS
Operating Systems : MAC, UNIX, Windows Vista, XP, 2000, MS-
DOS