cfpb

Analysis of the effect of different types of financial products on financial wellbeing.

Procurement prototypes for CFPB

HMDA mortgage lending disparity analyzer — denial rates, racial disparities, lending deserts, and lender benchmarking

Analytics pipeline that turns CFPB consumer complaints into operational intelligence: topic discovery, interpretable risk scoring, and executive reporting.

Personal website (outdated)

Tool for downloading CFPB trend data using the CFPB's Consumer Complaints Database API.

R analysis of financial conditions, financial well-being, and reported distress using the CFPB National Financial Well-Being Survey.

Truist digital banking competitive benchmark: 598K CFPB complaints + 2M app store ratings across BofA, Chase, Wells Fargo, PNC, Fifth Third — with RICE-scored roadmap

An end-to-end analytics platform designed to process and analyze real consumer complaint data from the CFPB. By integrating demographic data and applying NLP, the platform identifies high-risk financial products and response efficiency gaps. An interactive dashboard enables real-time monitoring of key compliance metrics.

End-to-end dbt/Snowflake ELT pipeline on 16.9M CFPB records, delivered as a size-neutral Tableau dashboard benchmarking 10 major U.S. banks.

Analysis of HMDA home loans data for Tyler, TX.

A copy of the Consumer Complaints Database from the U.S. Consumer Financial Protection Bureau downloaded on April 25, 2018.

PropTech-specific profile of the AI Incident Card. Maps severity/type fields onto CFPB UDAAP, ECOA Reg B (12 CFR 1002), Fair Housing Act, RESPA Section 8, title-chain integrity (ALTA), state real-estate regulator notification + a 5-grade transaction-impact severity scale. PropTech-readiness scaffolding, not certification.

End-to-end CFPB complaint analytics using Python, DuckDB, SQL, machine learning, Power BI, automated tests, and GitHub Actions.

Automatic Tagging of CFPB Complaints using LLM's and Ensemble Techniques

n8n workflow orchestrating four conditional-tool-use Claude agents to classify, research, draft, and QA real CFPB consumer complaints against real federal regulation text, behind a deterministic escalation gate. Live Streamlit dashboard synced to Google Sheets. Built to prioritize real, disclosed data over simulation throughout.

Profile of evidence-bundle-spec scoped to CFPB + OCC + FRB + FDIC readiness across 8 obligation families: model-risk-management + ECOA Reg B + FCRA Reg V + GLBA Safeguards + BSA/AML + Section 1071 + Section 1033 + CFPB UDAAP. FinTech scaffolding, not certification.

Classify thousands of rows of free text with an LLM: batching, cache, resume, USD budget guard, low-confidence review flags, and accuracy measured against real labels. Reports its own cost and accuracy instead of asserting them.

Open-source PII detection and re-identification risk benchmarks for LLM pipelines under EU AI Act, HIPAA Safe Harbor and GLBA NPI.

Clean, structured CSV datasets covering historical CFPB and FDA federal regulatory enforcement actions and penalty breakdowns.