Benjamin Nikolich
adcxpq@r.postjobfree.com 703-***-**** Oakton, VA
WORK EXPERIENCE
Perspecta (Apex Solutions) August 2019 – Present
Security Operations Center Analyst Herndon, VA
Monitor and analyze Security Information and Event Management (SIEM) tools ArcSight and Splunk to provide network security monitoring and incident response for security issues.
Primary point of contact for customers regarding security events and requests for real-time incident information and guidance.
Help generate SIEM content and tuning requests to improve performance and decrease false positives.
Operate in a 24x7x365 SOC environment.
Create end-of-shift pass-down reports for documentation and to communicate knowledge to other analysts and team members.
LookingGlass Cyber Solutions May 2019- December 2019 Associate Cyber Intelligence Analyst Reston, VA
Detecting and responding to cyber threats against clients as a part of the 24x7x365 Computer Security Center in an expeditious manner.
Utilized writing and analytical skills for analyzing suspect incidents and effectively communicating their existence to team members, management, and clients.
Gained an in-depth understanding of how cyber intelligence is used to address the needs and concerns of enterprise and government clients.
Able to self-motivate and work independently when required, but also able to actively communicate intelligence findings and work in a team environment.
EDUCATION AND CERTIFICATIONS
George Mason University May 2019
BS, Cyber Security Engineering Fairfax, VA
Member of GMU Honors College, Member of Mason Competitive Cyber, Dean's List Recipient CompTIA Security+ Certification June 2019
CompTIA CySA+ Certification November 2019
Splunk Certified Power User December 2019
AWS Cloud Practitioner March 2019
SKILLS
Skills: Splunk, ArcSight, ArcSight Logger, Windows (7,8,10), Mac OS, Linux, Computer Networking, Python, Scripting, TCP/IP Protocols, Firewalls, Log Analysis, Wireshark, Analyzing Open-Source Intelligence, TippingPoint, Microsoft Excel, Sandboxing, Threat Hunting, Machine Learning, Phishing Response and Takedown, Amazon Web Services, Incident Response