This project is a finance tracker application that helps individuals to make informed decisions about their finances, optimize their investments, plan for the future, and manage debts effectively.
Orchestrated HMDA mortgage data pipeline using Apache Airflow — automated ingestion, cleaning, quality validation, and weekly model performance monitoring on 279K NC loan applications.
Offline German Morgage / Baufinanzierung dashboard: amortisation, Sondertilgung, Anschlussfinanzierung, buy-to-let tax (AfA, Werbungskosten), and 10-year sale scenarios. Single HTML file, no server, no dependencies.
Predicts U.S. home loan approvals using 4.25M real HMDA 2023 applications — XGBoost, Random Forest, Logistic Regression, ROC-AUC 0.9932
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