This project predicts telecom customer churn using Machine Learning. Logistic Regression and Random Forest were implemented, with Random Forest delivering better performance. Data insights were als…

This project builds a supervised machine learning model to predict whether a customer is a high-value spender based on demographic and purchasing behavior features. The objective is to help busines…

This repository showcases an advanced Deep Learning framework for Brain Tumor Detection and Classification using MRI imaging data. The proposed hybrid architecture combines CNN layers for high-leve…

This project presents an interactive Call Center Performance Dashboard developed using Microsoft Power BI. The dashboard provides insights into call volume, agent performance, resolution efficiency…

This project demonstrates a complete, company-level data analytics workflow using Python, SQL, and Power BI on a Retail Customer Behavior and Shopping Trends dataset. It simulates a real-world busi…