AI-powered customer intelligence platform developed during the DataVerseAfrica Internship. Combines machine learning, Streamlit, Power BI, and APIs to transform customer data into actionable insights, predictive analytics, interactive dashboards, and automated business recommendations across banking, retail, telecom, and other industries.

End-to-end SQL analysis of sales performance, customer behavior, and product trends using the Chinook dataset.

Machine Learning project predicting customer purchase behavior using RFM analysis, Logistic Regression, SQL, Power BI, and Streamlit.

End-to-End Credit Card Spend Analysis Dashboard built with Power BI, SQL & Python | Customer Segmentation | Revenue & Risk Analytics

BCG Data Science project testing price sensitivity as a churn driver for a UK energy utility — featuring RFM-style feature engineering, SMOTE-balanced Random Forest modelling, and a probability-cutoff revenue impact analysis of a 20% discount intervention across 14,600 SME clients.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Deep Learning for Recommendation in E-Commerce leverages neural networks to analyze customer data and generate personalized product suggestions, enhancing user experience and increasing business revenue.

This Tableau project analyzes British Airways customer reviews to uncover service trends. It features interactive dashboards tracking KPIs like seat comfort, staff service, and value for money. By segmenting data by traveler type and region, it provides actionable insights into airline loyalty.

Advanced Power BI solution for customer intelligence, churn prediction, retention analytics, risk monitoring, and decision-driven customer growth strategies.

EDA, statistical analysis, and ML models (PyCaret/LightGBM) predicting customer spend and subscription likelihood for an eBook retailer.

Customer Retention & Churn Analysis