Consumer Complaint Analytics

Fri, 10 Jul 2026 00:00:00 +0000

Jun 2026 – Jul 2026

Engineered a full NLP pipeline on the CFPB Consumer Complaint Database (8+ GB) using TF-IDF and logistic regression.
Made an automated complaint classifier, which achieved ~0.87 accuracy.
Identified the growing share of templated filings and distinguished automated volume from genuine consumer harm using advanced statistical analysis, such as Cramér’s V and the chi-square test of independence.

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