1. Senior Business Analyst
Exl Services
PUSHPAK
AGRAWAL
+91-8800642659/9890370426
pushpakagrawal2209@gmail.com
Education
B.Tech. National Institute of Technology,Warangal. CPI: 6.81
Class 12th, Maharashtra State Board of Higher SecondaryEducation. 77.17%
Class 10th, Maharashtra State Board of SecondaryEducation. 84.00%
Employment
Business Analyst Exl Services August 2015 - Present
1. Straight Roller Model
Description: Forecasting Straight Rollers inECM
Methodology: Developing and implementing risk algorithms to identify patterns that will forecaststraight
rollers
Contribution: Scoping the opportunity, categorizing and defining different types of defaulters, variable
selection and creating un-segmented 'toy'models.
2. Probability of Default Model
Description: Forecasting Defaulters in ECM
Methodology: Creating predictive models using historical and current data to identify PD of a customer
Contribution: Maintenance of old version of the implemented model, Variable innovation and creating
segmented 'toy' models of new version of the model, creating interaction variables (Using PRIM and
GBM), Building models through extensive modeling process, Providing Adverse Action Reasoning,
Creating technical documents.
3. Patient Rule Induction Method
Description: Machine learning technique for creation of interactionvariables
Methodology: Using bump-hunting algorithm for population selection to increase use of existing data
Contribution: Creation of code for the method on SAS, Introduction of new control parametersand
maintenance of the tool.
Intern NIT Warangal Summer 2014
Share Analysis in Power Generation and SupplyIndustry
Analyzing share prize variation in the industry with certainparameter
Published in "GE-INTERNATIONAL JOURNAL OF MANAGEMENTRESEARCH"
URL: http://www.aarf.asia/download.php?filename=SEVA2QgNckAOxat.pdf&new=.
Academic Achievements
AIEEE-2011Rank 2863 (GN).
IIT-JEE-2011 Rank 4714 (GN).
District 1 in Maharashtra Talent Search Exam (2006) conducted by Nowrosjee Wadia College, Pune.
Secured rank AIR 28 in NSO, organized by Science OlympiadFoundation.
Languages and Technologies
Extensive experience of working on SAS.
Good working knowledge of R & MS Excel.