Johnu User

I’m a BE Computer Science and Engineering (Cybersecurity) student from Bangalore, focused on building AI-driven security and analytics solutions. I enjoy turning real-world problems into practical systems that can predict risk, detect threats, and support decision-making.

In my projects, I developed an AI-powered healthcare platform for early disease detection using Machine Learning and Deep Learning. I built models for Diabetes, Heart Disease, and Liver Disease, reaching up to 93.5% prediction accuracy, and I integrated preprocessing, feature selection, training, and evaluation with metrics like ROC-AUC and Confusion Matrix analysis.

During my RVCE internship (Center of Excellence), I worked on an Email Forensics & Phishing Analyzer, investigating suspicious emails through header forensics, URL inspection, SPF/DKIM/DMARC checks, and attachment behavior analysis. I created a phishing detection workflow using Python, VirusTotal, and IOC extraction, then generated SOC-ready incident reports and supported threat-hunting by correlating email threats with network and endpoint logs.

I’ve also built cybersecurity-focused ML systems to detect DDoS attacks, SQL injection attempts, and ransomware behaviors, including validation through simulated cyberattacks in a controlled virtual environment. With certifications across Networks, Information Security, and Digital Forensics, I’m ready to contribute to proactive incident response and security analytics while continuing to grow as an engineer.