consumer-complaints

Customer Complaint Intelligence Platform built on 15.95M CFPB complaints. Features executive analytics, company risk scoring, growth analysis, forecasting, recommendation engine, NLP classification, topic modeling, Streamlit dashboard, and Docker deployment.

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

Deep Learning NLP project for consumer complaint classification using SimpleRNN, LSTM, GRU, and a fine-tuned DistilBERT Transformer with an interactive Gradio web application.

Financial Consumer Complaints Data Analysis Using Tableau Dashboard - A Complete KPI Analysis Project

Telecom consumer complaints analysis — ticket trends, resolution rates and service quality insights using Python

Few-shot learning project classifying credit repair complaints by consumer knowledge level. Combines transformer embeddings, manual features, and multiple classifiers.

End-to-end NLP project comparing TF-IDF + Logistic Regression and BERT for consumer complaint product classification using the CFPB complaint dataset.

Tableau dashboard for credit card complaint analysis. 86,893 records, SLA monitoring, geographic risk mapping, rolling 12-month KPIs, and cross-filter action filters.

This dataset was extracted from SuperDataScience

Consumer Complaints Analysis Using BERT

Machine learning pipeline for classifying consumer complaint texts into product categories, with code, results, and screenshots. Built for Kaiburr Assessment 2025.

Analysis of 550K+ Consumer Financial Complaints using Python, Pandas and Power BI with dashboard insights and policy recommendations.

AI-powered NLP system for automatic consumer complaint classification and priority prediction using Machine Learning.

(Summer Internship I Project) This project involves the self-collected data processing and visualization of laptop specifications and consumer complaints. By synthesizing original datasets, the study identifies key reliability trends and hardware performance correlations through systematic visual analysis.

This Repository has files for a Google Cloud Platform Project for Coursework ADTA 5240 - Harvesting, Storing & Retrieving Data

Data analysis of brazilian consumer complaints / Análise de dados a respeito do direito do consumidor brasileiro.

Large-scale CFPB consumer complaint analytics covering conduct risk, company benchmarking, emerging complaint themes and Power BI reporting.

NLP and Machine Learning pipeline using Python to analyze CFPB consumer complaint data — including sentiment analysis, topic modeling, and fraud classification.