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@muntahanasir
Aspiring cybersecurity and digital forensics specialist building ML-driven threat detection systems.
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.
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Work history, roles, and key accomplishments
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.
Degrees, certifications, and relevant coursework
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.
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