1. Master of Science
Electrical Engineering
University at Buffalo, SUNY,
Buffalo, NY
Graduated: May 2016,
GPA: 3.6
Bachelor of Engineering
Electrical and Electronics
Engineering
Manipal University, Manipal,
KA, India
Graduated: May 2014,
GPA: 3.5
PROJECTS
Customer Retention – LIMRA Universal Life Insurance Policy – Logistic Regression
Analysis – SAS 9.4
Name of Company, 2015 – Present• Developed a predictive model (Accuracy 69%) to identify the general profile of a
policyholder that is at risk to lapse or surrender by identifying and analyzing the
key factors that have the highest impact on lapse and surrender results.
• The model is also capable of analyzing different types of policies that are more
prone to lapse. Policy adjustments can be made based on these statistics.
SKILLS
SAS Tools: SAS /STAT, Base SAS, SAS/SQL, SAS/MACRO, SAS/ODS
Programming: SAS 9.4, MS Excel VBA, R, MATLAB
Database: SQL, MS Access, Excel, Word, PowerPoint
Visualization: Tableau, QlikView
Statistical Modeling: Linear and Logistic Regression Analysis, Data Visualization, Pattern
Discovery, Decision trees, Cluster Analysis, Survival,
EDUCATION
Clorox Disinfecting Wipes sales forecasting – Time Series Forecasting – SAS 9.4
• Developed a time series forecasting model (ARIMAX, MAPE 6.5%) to predict sales
of Clorox Disinfecting Wipes based on high level factors such as those pertaining
to socio-economic, demographic, health and climatic reasons.
• Implemented Principal Component Analysis to identify market segments and
cluster the cities whose sales are highly correlated so that the sales can be
forecasted jointly.
Wine Grading – Quality Testing –Regression Analysis – SAS 9.4
• Developed logistic regression and decision tree models to classify and grade the quality
of wines with an accuracy of 72.4% and 71.3%.
Sritej Gunta
CERTIFICATION
Ss
Recommendation for improvement in Return of Investment - Priceline.com – Online
Marketing Campaign - Predictive Analysis – SAS 9.4
• Built Predictive models to measure the effectiveness of current marketing campaign
and identify the best time to send promotional emails to maximize conversion rate of
email response.
• Segment the market to target the potential customers and create the right message to
attract more customers.
COURSES