mortgage-data-analysis

ETL process which downloads, transforms, and loads Freddie Mac/Fannie Mae mortgage data

Resources for Open Risk Academy Course: "Processing US Agency Mortgage Data with Awk and Pandas - Part 1: Static Data"

Resources for Open Risk Academy Course: "Processing US Agency Mortgage Data with Awk and Pandas - Part 2: Performing Book"

This is a capstone project for Microsoft Professional Programme in Data Science

Mortgage Risk & Retention Analytics Platform: predicts loan fallout and refinance risk, supports portfolio segmentation, and optimizes underwriter capacity with executive-ready reporting.

Fairness Analysis in US Mortgage Lending with Machine Learning Algorithms

房贷参谋

My data project on mortgage lending for 5253 Data Science for Economists with Dr. Tyler Ransom at the University of Oklahoma.

Analysis of mortgage default risk using Fannie Mae data, comparing loan characteristics and default patterns between 2007 and 2019.

Mortgage risk analysis and forecasting project using Python and statistical modelling

PropIntel is an open-source, AI-driven property intelligence platform that tracks U.S. property ownership, notices of default, liens, foreclosures, auctions, tax delinquencies, and title transfers. It connects public records to reconstruct property histories, identify ownership patterns, and forecast real estate trends.

End-to-end credit risk modeling system using Fannie Mae data, including training pipelines, persisted model artifacts, and a Streamlit-based loan scoring app.

An app under development and open for other parties to contribute.

Free online calculators for mortgages, loans, finance, savings, and everyday calculations.

A React component that enables users to calculate their mortgage payments, features data visualization.

mortgage calculator

Scalable ETL pipeline and Machine Learning model to predict mortgage defaults using Freddie Mac’s Single-Family Loan-Level Dataset. Migrated from a Pandas-based legacy system to a distributed PySpark architecture on Databricks to handle multi-gigabyte time-series performance data.

PostgreSQL analytics on 1.75M real New York mortgage applications, 2022 to 2025. Star schema, quality assertions, performance tuning, generated data dictionary and a browser-runnable SQL database/playground that needs no installation.

A comprehensive mortgage payoff analyzer that simulates loan repayment scenarios with annual extra payments, generating detailed amortization schedules, PDF reports, and burndown charts to visualize interest savings.

Public advocacy resources for veteran families facing VA mortgage foreclosure. Action kit, visual fiscal dashboard, call scripts, cited data. Share freely.