Analysis of the effect of different types of financial products on financial wellbeing.
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Updated
Oct 7, 2020 - Jupyter Notebook
Analysis of the effect of different types of financial products on financial wellbeing.
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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.
Analytics pipeline that turns CFPB consumer complaints into operational intelligence: topic discovery, interpretable risk scoring, and executive reporting.
A copy of the Consumer Complaints Database from the U.S. Consumer Financial Protection Bureau downloaded on April 25, 2018.
HMDA mortgage lending disparity analyzer — denial rates, racial disparities, lending deserts, and lender benchmarking
Automatic Tagging of CFPB Complaints using LLM's and Ensemble Techniques
FinTech Operator: per-state lifecycle ledger of US state banking-regulator regs + state-AG enforcement + state statutes + NMLS-coordinated reqs. First Suite tracker supporting multi-regulation per state (statute + implementing regulation as parallel lifecycle streams). Seed: NY Part 500, CA CCFPL+DFPI 10 CCR, CO SB 24-205, IL HB 3773, TX HB 1709.
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.
Profile of evidence-bundle-spec scoped to AI financial-services bias coverage. ECOA Reg B + CFPB Section 1071 + CFPB UDAAP + OCC/FRB/FDIC joint AI + four-fifths-rule + business-necessity-defended + redlining-pattern-flagged. FinTech scaffolding, not certification.
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.
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.
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.
AGPL-3.0 reference impl of FinTech audit-stream. 2 orthogonal invariants: FCRA §604 permissible-purpose on every credit-bureau pull + human-credit-officer on adverse recommendations (Reg B + FCRA §615 + CFPB Circular 2023-03). Runs Meridian × CreditMind v4.x trajectory end-to-end.
AI-augmented operational analysis of 14.3M US consumer banking complaints -- SQL, PostgreSQL, and documented AI workflow
RAG-based legal Q&A agent built with LangChain, ChromaDB, and the Anthropic Claude API — query the CFPB Supervision and Examination Manual using natural language with cited, grounded answers.
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