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.

Call Centre Trends Visualising customer and agent behaviour.

Self case study 1

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

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

Data analysis project optimizing customer support operations for SwiftConnect Telecom.

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

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.

Capstone project: employee engagement vs customer satisfaction vs branch performance (R, regression, clustering, Shiny)

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

cryptotoken

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.

Data-driven analysis of wedding vendor pricing and customer satisfaction, with database design, SQL optimization, and cost breakdown generation.

Use Twitter text analysis to measure client satisfaction

Exploratory Data Analysis (EDA) project on airline passenger satisfaction data. Includes data preprocessing, outlier handling, correlation analysis, segmentation, and actionable business insights to improve service quality and reduce dissatisfaction.