Zainab Chaudhry

I built and deployed FraudShield v1.0.0, an AI-based financial fraud detection application using Python, PyQt5, SQLite3, and Scikit-learn. My final-year project earned 93/100 and processes transaction data through preprocessing, class balancing, and six machine-learning models.

I'm pursuing SOC operations, threat intelligence, and security analysis through hands-on TryHackMe SOC Level 1 labs, Splunk log analysis, Wireshark traffic analysis, and Cisco Packet Tracer network security exercises. I use MITRE ATT&CK to identify threat actor TTPs, investigate suspicious activity, and support incident-response workflows.

I've completed seven cybersecurity job simulations with AIG, Mastercard, Tata Group, Deloitte Australia, Commonwealth Bank, Datacom, and Telstra AU. These experiences included incident triage, phishing analysis, IAM assessment, risk assessment, vulnerability advisories, malware-response documentation, and security recommendations.

As a BS Computer Science graduate from the University of Central Punjab, I achieved an 88.1 percentile NCST HEC score, placing in the top 12% nationally. I'm available for remote internships in July–August 2026 and full-time cybersecurity roles from September 2026.