Project overview
Credit Risk Portfolio Analysis & Monitoring is documented in the supplied professional CV. This summary uses that source; underlying project files and dashboard screenshots have not yet been supplied.
Business problem
Monitor portfolio health and identify repayment patterns that can inform risk prioritisation and recovery decisions in a fintech lending environment.
Objectives
Track portfolio performance, examine delinquency stages and roll rates, identify behavioural risk indicators and support targeted recovery strategies.
Dataset
Loan portfolio and repayment information, as described in the CV. No customer-level data is published here. Dataset size, date range and access conditions remain to be documented.
Tools used
SQL and Python, including Pandas and NumPy, for analysis; Power BI for interactive dashboards.
Data cleaning and preparation
The supplied CV does not document specific cleaning steps. These will be added from the actual project notes rather than inferred.
Analysis approach
Delinquency trend analysis across PAR buckets, roll rate analysis across repayment stages and customer risk segmentation.
Dashboard and visualisation
The CV describes Power BI dashboards for portfolio performance tracking and risk segmentation. The chart displayed on this page is a synthetic design illustration, not the original dashboard.
Key insights
The documented work identified behavioural risk indicators to support early warning monitoring. Specific numerical findings have not been supplied for this case study.
Recommendations
The work supported recovery strategy and risk prioritisation. Detailed recommendations will be added from approved project evidence.
Business impact
The CV describes support for lending, recovery and risk decisions. No project-specific numerical impact is asserted here without supporting context.
Challenges
Project-specific limitations and confidentiality requirements still need to be documented.
What I learned
Adekunle’s project reflection will be added alongside approved screenshots and notes.
Links
See the downloadable professional CV for the source description. No repository or dataset link has been supplied.