Varun Aggarwal

CEO

Gurgaon, Haryana, India18 yrs 2 mos experience

Highly StableAI Enabled

Key Highlights

18 years of experience in consulting and analytics.
Published multiple research papers in machine learning.
Led large teams in credit risk and fraud modeling.

Stackforce AI infers this person is a Fintech expert with strong leadership in predictive modeling and analytics.

Contact

Skills

Core Skills

Predictive ModelingMachine LearningCredit Risk ManagementAnalyticsLeadership

Other Skills

Statistical ConceptsTeam ManagementCluster AnalysisLogistic RegressionLinear RegressionDecision TreesSASStatistical ModelingStatisticsEconometricsData AnalysisStatistical Data AnalysisRisk ManagementCustomer AnalysisSegmentation

About

~18 years of experience in the fields of consulting, analytics, predictive modeling and machine learning Research Papers: 1. Credit Card Fraud Detection using Feature Engineering and Machine Learning (Lattice, The Machine Learning Journal, vol. 3, issue 1, January-March 2022, pp. 66–69), presented at Machine Learning Developers Summit 2022, organized by Analytics India Magazine 2. Solving the CECL Riddle through Risk Analytics (6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence, Apr 06-07, 2019, Ahmedabad, India) 3. Feature Engineering Strategies: A Practitioner's Guide (5th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence, Apr 08-09, 2017, Ahmedabad, India) 4. Retail Credit Risk Model Validation: Performance and Stability Aspects (4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence, Apr 11-12, 2015, Ahmedabad, India) 5. Feature Selection and Dimension Reduction Techniques in SAS (NESUG Conference Sep 11-14, 2011, Portland, ME, US) 6. Ensemble Hybrid Logit Model (KDD Cup 2010, Educational Data Mining Challenge, Hosted by PSLC DataShop, Submission: Jul 2010) 7. Should I Build a Segmented Model? A Practitioner’s Perspective (2nd IIMA International Conference Jan 8-9, 2011, Ahmedabad, India and NYASUG Conference Jan 14, 2010, Pace University, NY, US) 8. Proc Logistic Plus: The Power of Variable Transformations (NESUG Conference Sep 14-17, 2008, Pittsburgh, PA, US)

Experience

Exl

7 roles

Vice President, Predictive Modeling and Advanced Analytics

Oct 2022 – Present · 3 yrs 5 mos

Credit Risk ManagementLeadershipPredictive ModelingAnalyticsMachine Learning

Vice President

Promoted

Jul 2018 – Sep 2022 · 4 yrs 2 mos

Senior Assistant Vice President

Promoted

Jan 2016 – Jun 2018 · 2 yrs 5 mos

Responsible for:
Leading off-shore delivery for a multi-million dollar US-based banking account, involving insight generation, validation and monitoring of 150+ credit risk and fraud models
Managing a group of 75+ professionals
Managing development of a web-based product for banking domain from business side by leading a team of SMEs for statistical concepts and partnering with Technology team
Initiatives like EXL Excellence Quotient (case study contest) successfully running across IITs, campus recruitment at premier institutes in India, new hire training on modelling methodology
Content development of trainings around advanced statistical concepts
SAS macros toolkit development, management and expansion