Interactive DataQuest 2026 credit-risk analytics platform combining EDA, statistical research, interpretable logistic regression, scorecard concepts, and business decision support. The project focuses on understanding borrower risk, identifying meaningful patterns, evaluating model performance, and translating predictions into practical lending.
R-based financial risk analytics engine and Shiny dashboard — debtor risk scoring, collections notifications, a trained repayment-prediction model, and an LLM-powered natural language chat layer, built on real Kaggle datasets.
Development of PANorama, a credit limit optimization platform built with Banco PAN. Using Linear Programming and a custom Simplex solver validated with OR-Tools, the solution optimizes credit allocation at scale. Built with FastAPI, React, PostgreSQL, Redis, Celery, and Docker, it was validated with over 2.8M customers.
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