Lucky Agrawal — Data Scientist
Data-driven Credit Risk Modeler having 5+ years of experience in building and deploying risk assessment frameworks for lending products. Currently at TransUnion, I design and implement credit risk models that enhance decision-making for credit cards and other portfolios. Previously at Bajaj Finance, I developed propensity models and risk scorecards for personal loans, optimizing approval rates while minimizing defaults. Earlier at CEAT Tyres, I applied fraud analytics to detect and prevent fraudulent tire insurance claims, improving loss prevention. Core Skills: Credit Scoring | Risk Strategy | Machine Learning (Python/R/Spark) | Model Validation | Fraud Analytics | Portfolio Risk Management
Stackforce AI infers this person is a Credit Risk Analyst with strong expertise in Fintech and data-driven decision-making.
Location: Pune, Maharashtra, India
Experience: 7 yrs
Skills
- Credit Scoring
- Risk Strategy
Career Highlights
- 5+ years in credit risk modeling and analytics.
- Expert in machine learning for financial applications.
- Proven track record in fraud detection and prevention.
Work Experience
TransUnion
Senior Data Scientist (1 yr 10 mos)
Bajaj Finserv
Data Scientist (1 yr 6 mos)
CEAT Limited
Data Scientist (3 yrs 8 mos)
Education
Nanodegree at Udacity
Master's degree at Vellore Institute of Technology
Bachelor's degree at Rajiv Gandhi Prodyogiki Vishwavidyalaya