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.

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

Self case study 1

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.

Use Twitter text analysis to measure client satisfaction

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 analysis project optimizing customer support operations for SwiftConnect Telecom.

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

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.

cryptotoken

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

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

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.

Collection of interactive Tableau dashboards showcasing data visualization expertise across entertainment, real estate, and aviation industries. Features Netflix content analysis, housing market trends, and British Airways customer satisfaction metrics with advanced filtering and drill-down capabilities.

Digital Marketing (web analytics and clickstream tracking) projects, and UX (research) projects.

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

This project to determine customer satisfaction towards an airline using SQL Server

A data science project analyzing real-world e-commerce data from Olist to identify key drivers of customer satisfaction and profit. Includes statistical inference, regression modeling, and actionable business insights, with clear visualizations and reproducible code.

Term Project for OBA 410 "Python Data Analytics" taught by Professor Saheed Piri at University of Oregon

A Rust crate for calculating Net Promoter Score (NPS) from survey responses.

Predict whether a future customer would be satisfied. Part of Samsung Innovation Campus Program.

Data analysis project based on the Olist Brazilian E-Commerce dataset. Includes data cleaning, exploratory analysis, delivery performance metrics, customer satisfaction modeling, and geospatial insights. Built entirely in Python (Jupyter Notebook) using real-world data from Kaggle.

Dự báo sự hài lòng của khách hàng dựa trên dữ liệu phản hồi từ khảo sát.

End-to-end MLOps workflow for customer satisfaction prediction using the Olist e-commerce dataset. Includes reproducible ZenML pipelines, MLflow experiment tracking, automated model deployment, and an interactive Streamlit app for real-time predictions. Modular, production-ready code with local deployment and demo UI.