Analysis of the effect of different types of financial products on financial wellbeing.
-
Updated
Oct 7, 2020 - Jupyter Notebook
Analysis of the effect of different types of financial products on financial wellbeing.
Analytics pipeline that turns CFPB consumer complaints into operational intelligence: topic discovery, interpretable risk scoring, and executive reporting.
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.
Benchmarking consumer complaints for 10 major U.S. banks on the CFPB database (16.9M rows), built end-to-end on Snowflake → dbt → Tableau with size-neutral comparisons.
HMDA mortgage lending disparity analyzer — denial rates, racial disparities, lending deserts, and lender benchmarking
Personal website (outdated)
A copy of the Consumer Complaints Database from the U.S. Consumer Financial Protection Bureau downloaded on April 25, 2018.
Automatic Tagging of CFPB Complaints using LLM's and Ensemble Techniques
FinTech AI Incident Card profile. 15 event types + 4-tier severity + 9 regulator-referral pathways with evaluation-state tracking. Covers CFPB + FCRA + UDAAP + OCC/FRB/FDIC MRA + Section 1071 + BSA/AML + FinCEN + state banking-regulator + class-action filings.
FinTech audit-stream Operator: per-consumer-credit / deposit / payment / fraud / AML / robo-advisor / Section-1071-small-business AI tool events hash-chained for CFPB + OCC + FRB + FDIC + ECOA + FCRA + GLBA + BSA-AML evidence. Two invariants: human-credit-officer + FCRA permissible-purpose. Excludes mortgage + insurance.
Within-category benchmarking of 391K CFPB consumer complaints — catches a product-mix confound a naive comparison misses, plus an LLM classification eval and full-census misrouting audit. Python/DuckDB/Tableau.
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.
Open-source PII detection and re-identification risk benchmarks for LLM pipelines under EU AI Act, HIPAA Safe Harbor and GLBA NPI.
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.
CFPB MCP — Consumer Financial Protection Bureau complaint database (free, no auth)
AI-augmented operational analysis of 14.3M US consumer banking complaints -- SQL, PostgreSQL, and documented AI workflow
Add a description, image, and links to the cfpb topic page so that developers can more easily learn about it.
To associate your repository with the cfpb topic, visit your repo's landing page and select "manage topics."