This repository includes code for the paper "Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks" published in IEEE TCOM, focusing on autonomous cybersecurity (physical-layer authentication and cross-layer intrusion detection) using AutoML techniques.

Machine learning-based prediction of customer churn in the telecom industry using data balancing and ensemble models.

This project presents a complete, end-to-end fraud detection system designed to identify fraudulent financial transactions in real-time while minimizing customer friction. The solution goes beyond model building to address deployment strategy, threshold optimization, explainability, and production monitoring considerations.

A credit risk prediction project for LoanTap using machine learning to classify loan repayment behavior. It focuses on data preprocessing, handling imbalance, and optimizing model performance for real-world lending decisions.

Parkinson's Disease Prediction using Machine Learning with a web-based interface built with React, Flask, and Node.js for real-time predictions and user history tracking.

a machine learning pipeline to predict heart disease risk based on demographic, lifestyle, and clinical features train advanced and predictive ml models