I'm a cybersecurity professional with a background in incident response, phishing detection, and log analysis. My passion lies in building tools that detect threats, analyze suspicious behavior, and map activity to frameworks like MITRE ATT&CK. I’m currently building a hands-on portfolio that demonstrates real-world skills — one Python script at a time.

🔭 I’m currently working on:

• PhishyMail: A phishing detection tool that uses NLP and rules to flag suspicious emails
• MITRE ATT&CK Mapping Project: Detecting TTPs through log analysis and mapping findings
• Wine Stock Manager: A Python GUI app for managing catering stock data (because I like wine too 🍷)

👯 I’m looking to collaborate on:

• Cybersecurity tools (SIEM, detection rules, phishing detection, alert automation)
• Blue team educational resources or beginner-friendly open source projects

🤝 I’m looking for help with:

• Building smarter phishing detection logic (e.g., ML models, feature engineering)
• Writing or improving Sigma/YARA detection rules

🌱 I’m currently learning:

• CompTIA Security+ – studying through TryHackMe and Professor Messer
• Cloud security fundamentals, and deepening my Python scripting skills for infosec

💬 Ask me about:

• Threat detection, phishing indicators, log analysis, MITRE ATT&CK, or transitioning to cybersecurity from non-tech roles

⚡ Fun fact: I used to manage a team of 15 in a college dining hall — now I manage detection rules, Python loops, and suspicious .eml files 😄

Languages & Scripting:
Python C C++ x86 Assembly

Tools & Platforms:
Kali Linux Burp Suite Metasploit Wireshark Nmap TryHackMe Wazuh

Concepts & Interests:
Threat Detection Phishing Analysis Log Analysis MITRE ATT&CK SIEM Incident Response

A Python-based phishing email detector that analyzes .eml files for threats.

• Rule-based engine with NLP (urgency detection, spoofing, suspicious URLs, etc.)
• Risk scoring and severity tagging
• Supports regex pattern matching and user-defined blacklist rules
• Detects HTML <form> elements and verifies SPF/DKIM headers

Parses logs and detects suspicious activity, mapping to ATT&CK TTPs (e.g., T1053.005 – Scheduled Tasks)

• Parses system logs (CSV, JSON)
• Detects key threat behaviors using rule logic
• Outputs visual summaries of mapped techniques

• LinkedIn
• TryHackMe
• 📧 Email: [email protected]

I’m always open to connecting with other security learners, mentors, and professionals. Whether you're curious about Python scripting for security, blue team tools, or building your own infosec projects — feel free to reach out!