Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

Know exactly what to press or say to get a human operator

Internship project that dealt with Customer Satisfaction/Dissatisfaction Analysis for a major Technology giant. Converted Voice transcipts to text, performed Text and Sentiment analysis to produce results.

Self case study 1

Call Centre Trends Visualising customer and agent behaviour.

Predicting customer satisfaction for purchases made in Brazilian e-commerce.

Analyzing and Monitoring Net Promoter Score (NPS) Performance for Healthcare Companies using SQL and Power BI

A rating system that can be integrated with any customer satisfaction and feedback system

Factors that lead to customer satisfaction for an Airline. Model built using Python and trained using Amazon SageMaker.

This project focuses on predicting passenger satisfaction and loyalty within the airline industry using data mining techniques. The analysis is conducted using the Orange Data Mining tool, with a primary emphasis on understanding and predicting customer satisfaction and churn risk.

Sentiment analysis and forecasting on fast food restaurants using R and Shiny

Data analysis project optimizing customer support operations for SwiftConnect Telecom.

Use Twitter text analysis to measure client satisfaction

cryptotoken

A comprehensive project predicting flight prices and customer satisfaction using machine learning models, deployed through interactive Streamlit apps.

Power BI dashboard and data analysis of a telecom call center, uncovering performance trends, agent efficiency, call abandonment patterns, and customer satisfaction insights. Includes data-driven recommendations to enhance operations and user experience.

This project automates the analysis of large-scale customer feedback using Natural Language Processing (NLP) and Machine Learning. The core of this tool is a model that instantly translates raw review text into a corresponding star rating, providing rapid and actionable insights into product satisfaction.

An open-source customer satisfaction dashboard

VoiceNote for Business is an innovative solution to revolutionize business communication, particularly for rural and multilingual markets. This project enables businesses to process customer queries via WhatsApp voice notes, breaking down language and technological barriers.

🤖 Build AI-powered customer agents for multi-channel messaging, enhancing engagement and providing real-time support for enterprise applications.