complaint-analysis

Smart city dashboard for analyzing and visualizing municipal complaints across departments with insights, alerts, and decision support.

AppPoint, an app store platform, aimed to enhance user satisfaction by analyzing customer complaints . The goal was to identify underperforming apps and the most frequent types of complaints using Pareto Analysis. This project enables the company to take focused actions on improving app quality and customer experience.

NLP-powered banking complaint analytics using CFPB data to classify customer issues, discover emerging topics, and detect unusual complaint trends through statistical early warning methods.

Tag complaints and negative reviews with a CFPB style theme taxonomy, spot promise versus outcome patterns, and export tagged evidence in your browser.

Classify public transport passenger complaints, analyze sentiment, and identify complaint priority using Natural Language Processing (NLP).

Production-grade NLP & Risk Intelligence system on CFPB data featuring real-time complaint classification (89.4% Acc), dense semantic retrieval, anomaly trend radar, and a Streamlit/FastAPI deployment.

Explainable banking complaint intelligence built from 17M CFPB records, with weekly signals, evidence review, geographic analysis, issue triage, and a browser-local CSV workspace.

Evidence-backed complaint signals to approved remediation pilots.

This project aims to help Meesho identify and prioritize the key reasons behind customer complaints using Pareto analysis. By focusing on the top complaint categories contributing to the majority of issues, Meesho can take targeted actions to improve customer satisfaction and optimize operations.

NLP and statistical analysis of CFPB credit-card complaints to identify customer-experience themes and prioritize complaint issues.

An NLP-powered Financial Intelligence platform for banking customer sentiment analysis, semantic complaint theme discovery, and financial news sentiment classification. Built with Python, Scikit-learn, Sentence Transformers, and Streamlit.