Leveraged data pertaining to repayment patterns, member savings/balances, and demographic attributes (age, gender) to develop individual and group-level credit scores for MVend’s savings groups.
Credit Scoring Engine for MVend Group
Client
Mvend Group
Sector
Finance
Service
Data Analysis, ML & AI
Stack/Technique(s)
R, PostgreSQL
Key Outcomes
- —Achieved individual-level credit scoring relating to lending and re-payment patterns
- —Developed group-level credit scoring incorporating gender considerations
- —Strengthened Mvend Group's loan allocation criteria
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