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Cyb3rDef3nd3r5/README.md

πŸ‘¨β€πŸ’» About Me

Note

Hello! I'm Muhammad Awais Asgher. > I am a passionate cybersecurity professional in the final stretch of my BS in Cybersecurity, gearing up to launch my career as a Security Operations Center (SOC) Analyst. I am driven by the thrill of the huntβ€”analyzing logs, unraveling complex network anomalies, and building resilient, proactive defenses.

My approach to security is hands-on and colorful. Whether I am experimenting across my multiple-machine homelab setup, writing automation scripts, or diving into the intersection of machine learning and threat intelligence, I believe in learning by doing. I bridge the gap between traditional security monitoring and modern, code-driven defense strategies.


🎨 Technical Arsenal

Python Linux Wireshark Splunk Machine Learning Bash

  • πŸ”΄ Offensive Knowledge: Basic Penetration Testing Concepts | Understanding attacker mindsets to better defend against them.
  • πŸ”΅ Blue Team Operations: SOC Monitoring & Log Analysis | Threat Detection | Incident Response (IR) | SIEM Basics
  • 🟒 Network Defense: Network Security Fundamentals | Subnetting | Vulnerability Assessment Concepts
  • 🟑 Automation & Engineering: Python Scripting for Task Automation | Applied Machine Learning for Security

πŸ† Certifications & Training

Important

Continuous Validation: I actively validate my skills through industry-recognized platforms to ensure my knowledge remains sharp.

  • πŸ… Cisco Certified Support Technician (CCST) - Cybersecurity (In Progress)
  • 🟒 TryHackMe SOC Level 1 (SAL1) Pathway (Completed)
  • πŸ”΅ TryHackMe Cyber101 Pathway (Completed)

πŸš€ Featured Projects

I believe the best way to master cybersecurity is by building and breaking systems. Here is what I've been working on:

β˜€οΈ IoT Solar Inverter Threat Detection (Machine Learning)

Tip

Tech Stack: Python 🐍 | LSTM Autoencoders 🧠 | IoT Telemetry πŸ“‘

  • Overview: Developed a proactive security solution for critical infrastructure. I built and trained a Long Short-Term Memory (LSTM) machine learning model to ingest and monitor telemetry data from an IoT-based solar inverter.
  • Impact: The model effectively establishes a baseline of normal operational activity, automatically generating high-fidelity alerts when anomalous, attack-like behavior is detected.

🐍 Automated Log Parsing Scripts

Tech Stack: Python 🐍

  • Overview: Created a suite of custom Python scripts to simulate network traffic, parse complex server logs, and extract critical Indicators of Compromise (IOCs).
  • Impact: Streamlined data preparation for security analytics, showcasing how automation can drastically reduce SOC analyst fatigue.

πŸŽ“ Education

  • πŸŽ“ Bachelor of Science in Cybersecurity * πŸ—“οΈ Status: Final Semester (Expected Graduation: August 2026) ---

🚩 CTFs & Continuous Growth

The threat landscape never sleeps! I am a regular participant in Blue Team CTFs and hands-on simulation platforms. I dedicate time weekly to analyzing real-world CVEs and practicing incident response workflows. I maintain a growth mindset, always looking for the next puzzle to solve or new technology to master. 🧩


🀝 Let's Connect!

Caution

Warning: Highly motivated professional looking for impactful collaborations!

Whether you are looking for a dedicated Junior SOC Analyst, want to collaborate on open-source tools, or just want to chat about threat intelligenceβ€”I'd love to hear from you.

πŸ“« Drop me an email: mawaisasgher1@gmail.com
πŸ”— Connect on LinkedIn: Awais Asgher


"In cybersecurity, complacency is the greatest vulnerability. Stay curious, stay secure." πŸ”

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