Cyber Security Machine Learning

Mebrhit Tekie

Arlington, Virginia *****

***********@*****.***

703-***-****

EDUCATION May 2024

Northern Virginia Community College

A.A.S Cyber Security

GPA: 3.8

Academic Projects

Network Vulnerability Assessment and Spring 2024

Penetration Testing Project:

• Successfully identified multiple high-risk vulnerabilities, including unpatched systems and misconfigured services using Nmap, Wireshark, Metasploit and Nessus, allowing a company to remediate potential attack.

• Captured network traAic with Wireshark to analyze packet-level security risks and identify abnormal behavior.

• Documented all findings, proposed mitigation strategies, and created a comprehensive report for network hardening.

• Conducted a full vulnerability assessment one simulated corporate network using Kali Linux.

• Demonstrated the ability to stimulate real-world cyberattacks and provided the company with actionable security recommendations, improving their overall network security posture.

Cyber Security and Data Protection Implementation: Fall 2023

• Built a highly secure, scalable cloud infrastructure that reduced the risk of data breaches by 40%.

• Ensured full compliance with GDPR and NIST standards, securing sensitive data and protecting customer privacy.

• Enable encryption at rest and in transit using AWS KMS with AES-256 encryption, securing sensitive customer data.

• Implemented AM policies and role-based aces control (RBAC) to ensure only authorized personnel cloud access sensitive data and resources.

AI- Driven Phishing Detections System: Spring 2023

• Developed an AI-powered phishing detection system that used machine learning top identify phishing emails based on their content, metadata, and links.

• Applied machine learning algorithms like Random Forests and Decision Trees to classify whether an email was phishing or legitimate.

• Built a web-based interface using Flask, allowing users to upload emails or texts to check for potential threats in real time.

• Evaluated model performance, achieving a 98% accuracy rate in detecting phishing attacks by testing it on new, unseen email samples.

TECHNICAL SKILLS AND CERTIFICATIONS

• Certifications: Networking

• Linux System Administration: Ubuntu, Oracle VM VirtualBox, CentOS

• Configuration Management: Ansible, Puppet

• Scripting: Bash

• Automation: Jenkins, GitHub CI/CD, Docker

• MS OUice: Word, Excel, Access, PowerPoint

• Languages: Python, Java, C++, R

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