Lucky Agrawal

Data Scientist

Pune, Maharashtra, India7 yrs experience
AI ML PractitionerAI Enabled

Key Highlights

  • 5+ years in credit risk modeling and analytics.
  • Expert in machine learning for financial applications.
  • Proven track record in fraud detection and prevention.
Stackforce AI infers this person is a Credit Risk Analyst with strong expertise in Fintech and data-driven decision-making.

Contact

Skills

Core Skills

Credit ScoringRisk Strategy

Other Skills

Analytical SkillsBusiness RequirementsCredit RiskData ModelingData StructuresDeep LearningDistributed ComputingDistributed SystemsDockerExploratory Data AnalysisGenerative AIGenerative Adversarial Networks (GANs)GitKey MetricsMachine Learning

About

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

Experience

Transunion

Senior Data Scientist

May 2024Present · 1 yr 10 mos · Pune, Maharashtra, India · Hybrid

  • Credit Risk
Credit RiskCredit ScoringRisk StrategyMachine LearningModel Validation

Bajaj finserv

Data Scientist

Oct 2022Apr 2024 · 1 yr 6 mos · Pune, Maharashtra, India

Ceat limited

Data Scientist

Feb 2019Oct 2022 · 3 yrs 8 mos · Halol, Gujarat, India

Education

Udacity

Nanodegree — Intro to Self Driving Cars

Jan 2020Jan 2021

Vellore Institute of Technology

Master's degree — Manufacturing Engineering

Jan 2016Jan 2018

Rajiv Gandhi Prodyogiki Vishwavidyalaya

Bachelor's degree — Mechanical Engineering

Jan 2011Jan 2015

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