๐ฏ Fintech Risk Expert โ ML Data Scientist
๐ Combining 10+ years of credit risk expertise with modern ML
๐ MS in Business Analytics (Fintech Track) @ Rutgers | Dec 2026
๐ก Building production-ready models that solve real business problems
๐ Open to ML/Data Science roles in fintech and credit risk
๐ 2.26M Lending Club loans analyzed
๐ฏ 15.68% baseline default rate
๐ 7.5x risk differential (FICO <660 vs >780)
โจ 6 professional visualizations
๐ Week 1 Complete: Full exploratory data analysis
Next Steps: Feature Engineering โ Model Building โ Deployment
Risk Management Professional @ Fintech | 10+ Years
- โ Credit risk assessment and modeling
- โ Portfolio management and optimization
- โ Financial analysis and reporting
- โ Regulatory compliance (FDIC, OCC)
- โ Business lending operations
From: Traditional Risk Management
To: ML-Powered Credit Analytics
Unique Value: Combining 10 years of domain expertise with modern machine learning skills to build production-ready credit risk models
MS in Business Analytics (Fintech Track)
Rutgers University | Expected Dec 2026
| Domain Expertise | Technical Skills | Soft Skills |
|---|---|---|
| ๐ฆ Credit Risk Management | ๐ Python & Libraries | ๐ก Problem Solving |
| ๐ Financial Analysis | ๐ ML Model Development | ๐ค Stakeholder Communication |
| ๐ฒ Risk Modeling | ๐๏ธ SQL & Data Pipelines | ๐ Technical Documentation |
| ๐ณ Lending Operations | ๐ Data Visualization | ๐ฏ Business Strategy |
| โ๏ธ Regulatory Compliance | ๐ง Git Version Control | ๐ Project Management |
"The best models aren't built by those who know the most math,
but by those who understand the problem deeply."
Combining 10 years of domain expertise with modern ML to build solutions that actually work in production.