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🔐 security-analytics

ML & Analytics · Cyber Security · Digital Forensics

Academic and self-directed projects spanning offensive security, digital forensics, network engineering, applied cryptography, risk management, and machine learning.

License: MIT Portfolio


About

This repository is a technical portfolio bringing together coursework, lab work, and an applied security internship completed while building toward a career in cybersecurity / security analytics. Each top-level folder is a self-contained set of projects with its own documentation, methodology, and findings.

🌟 Highlights

A few projects worth starting with if you're short on time:

📂 Repository Structure

Folder Focus What's inside
ascend-trillium-internship Applied Security (Internship) JWT authentication vulnerability research & mitigation, SMB server hardening, C# file transfer tooling
offensive-security Penetration Testing Lab-target write-ups (Kioptrix, Tr0ll), MITM — SSL stripping & ARP spoofing on Kali Linux
digital-forensics DFIR M57 Patents case investigation, real-world breach case studies (Canva, MyGov), ext4 analysis, MBR vs GPT analysis
cryptography Applied Cryptography Secure Digital Banking System (SDBS) - encrypted, authenticated transaction handling
network-engineering Networking Cisco routing/switching, IPv4/IPv6 design, OSPFv3/RIPng implementation, performance analysis
computer-architecture-and-os Systems / OS Linux systems lab - file management, permissions, shell-level operations
data-science-projects ML & Analytics ECG arrhythmia detection, house price & medical insurance cost prediction, database/ERD design, applied ML coursework
risk-management GRC Risk assessment case studies - British Library, King Edward VII Hospital, University of the West of Scotland

Each folder contains its own README.md with project-specific details.

🛠️ Tech & Tools

Python SQL C%23 Linux Wireshark Cisco

Also used across projects: Autopsy, FTK Imager, Volatility, The Sleuth Kit, Kali Linux, scikit-learn, pandas

⚠️ A note on the offensive-security & forensics content

Penetration testing work here was carried out against intentionally vulnerable lab machines (VulnHub) or in isolated environments I own, strictly for educational purposes. Digital forensics case studies analyze publicly documented incidents.

📫 Connect

License

This repository is licensed under the MIT License.

About

Academic portfolio: digital forensics investigations, penetration testing write-ups, applied cryptography, network engineering, GRC case studies, and ML/data science coursework

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