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RiskSense AI
Credit risk assessment for loan applicants: imbalance handling, threshold tuning, and a Streamlit app that estimates default probability with High/Low risk and key contributing factors.
- Python
- Pandas
- scikit-learn
- Streamlit
- NumPy
Dashboards, analysis, and insights that support real decisions.
3 projects in this category
Credit risk assessment for loan applicants: imbalance handling, threshold tuning, and a Streamlit app that estimates default probability with High/Low risk and key contributing factors.
End-to-end inventory pipeline: ingest and clean supply-chain data, ABC/velocity classification, demand forecasts, reorder recommendations with stock-out risk, plus MySQL views, Excel reports, and Power BI.
Power BI dashboard for ride analytics: interactive report (.pbix) and a PDF export for stakeholders. Files and context live in the GitHub repository.