Open to opportunities

Muntaha Nasir

@muntahanasir

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Aspiring cybersecurity and digital forensics specialist building ML-driven threat detection systems.

Pakistan

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What I'm looking for

I seek a hands-on cybersecurity role focused on digital forensics, ML-driven network security, practical threat detection, and growth in incident response.

I am a BS Cyber Security and Digital Forensics candidate with hands-on experience building machine learning-driven network security tools and forensic utilities.

My thesis developed a Machine Learning-based Network Intrusion Detection System (NIDS) hosted at nidsystem.xyz, demonstrating real-time threat detection with high accuracy.

I have completed projects in memory forensics, disk and mobile forensics, a PCAP Analyzer using Scapy/PyShark and Random Forest, a metadata anonymizer in Python, and a MySQL-backed Netflix clone.

I hold multiple certifications (including CompTIA Security+ and machine learning coursework), and I focus on practical security engineering, ethical hacking, and privacy-preserving tools.

Experience

Work history, roles, and key accomplishments

BS Cyber Security Student

The Islamia University of Bahawalpur

Oct 2021 - Jun 2025 (3 years 8 months)

Conducted a Machine Learning-based Network Intrusion Detection System (NIDS) as a final-year thesis, developing and deploying a real-time threat detection system with high accuracy at nidsystem.xyz.; completed coursework and projects in digital forensics, network security, and web/database development.

Network Security Digital Forensics Python Machine Learning MySQL Ethical Hacking Web Development

Education

Degrees, certifications, and relevant coursework

The Islamia University of Bahawalpur

Bachelor of Science, Cyber Security and Digital Forensics

2021 -

Grade: 3.29/4

Activities and societies: Thesis: Network Intrusion Detection System (https://nidsystem.xyz); projects in memory forensics, PCAP analysis, metadata anonymization, and a MySQL-based Netflix clone.

Pursuing a BS in Cyber Security and Digital Forensics with a thesis on a machine learning-based Network Intrusion Detection System aimed at real-time threat identification and prevention.