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Incident Response Cybersecurity Analyst

Location:
Houston, TX
Posted:
May 16, 2025

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Resume:

Vera Njamen

Houston, TX 281-***-****

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

LinkedIn Profile

PROFESSIONAL SUMMARY

Cybersecurity professional with 2 years of hands-on experience in risk assessment, vulnerability management, penetration testing, and incident response. Expertise in utilizing industry-leading cybersecurity tools and frameworks to detect and mitigate threats. Adept at ensuring system resilience through proactive security measures and applying technical knowledge to improve organizational defenses. Seeking to apply skills in an entry-level cybersecurity role.

PROFESSIONAL EXPERIENCE

Cybersecurity Analyst

Amazon AB Houston, TX

March 2023 – May 2025

Performed vulnerability assessments using Nessus, Nmap, and other industry-leading tools to identify and mitigate security risks in network infrastructure.

Designed and implemented security solutions including firewalls, SSL inspection, and MFA to protect client systems from external threats.

Collaborated with global teams to enhance security posture and ensure network security standards were met for customers across the APAC region.

Assisted in incident response processes by detecting and analyzing potential breaches and advising clients on remediation strategies.

EDUCATION

Lone Star College, Houston, TX

Bachelor of Applied Technology in Cybersecurity

May 2025

CERTIFICATIONS

CompTIA Security+ (in progress)

CCNA Switching and Routing (200-125) (Completed October 2023)

Cisco CyberOps Associate (Completed December 2022)

SELECTED PROJECTS

Cybersecurity Traffic Analysis & Threat Detection

University of Southern California Spring 2022

Developed models to analyze network traffic data for anomaly detection and early threat identification.

Applied statistical techniques and machine learning algorithms to predict and respond to potential cybersecurity incidents.

Enhanced incident response through automated detection, improving response times and security system efficiency.

Predictive Analytics for Critical Infrastructure Security

IEEE International Conference on Prognostics and Health Management (ICPHM)

Published 2017, Dallas, TX

Co-authored a study on using predictive analytics to enhance the cybersecurity of critical infrastructure, focusing on smart grid protection.

Applied advanced modeling techniques to anticipate system vulnerabilities and prevent cyber-physical threats to critical systems.

TECHNICAL PROFICIENCY

Operating Systems: Windows, Linux (basic admin)

Networking: TCP/IP, DNS, VPNs, Firewalls, IDS/IPS

Security Tools: Wireshark, Nessus, Nmap, Kali Linux, Power BI

References would be provided upon request



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