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Akin Alkan

Cybersecurity Analyst at CyberTech Labs
San Jose, CA, United States
Details

Education: Master of Science - MS

Computer Science

University of Nevada, Reno

2021 : 2023

Bachelor of Science - BS

Operations Research

Turkish Naval Academy

Experience: ● Optimized Siri performance through knowledge graph, input validation and data verification.

● Contributed ML tools improvement by data quality assurance, data labeling, bias detection, and data augmentation.

● Analyzed data, identified patterns, trends, and relationships.

2020 : Present

Advantis Global - Apple

Data Curator

As a Cybersecurity (SOC) Analyst Trainee, I focused on event analysis and incident response operations utilizing SIEM and EDR tools in a SOC environment. I was working on hands-on projects to monitor and analyze potential and active threats using security tools and processes.

• Monitored and analyzed SIEM alerts through ELK Stack and IBM QRadar and identified security anomalies for investigation and remediation

• Monitored SIEM, EDR solutions and identify security anomalies for investigation and remediation

• Provided recommendations to the technical teams via The Hive ticketing system

• Acquired and analyzed triages to gain insight on the incidents through Trellix/FireEye HX EDR

• Conducted analysis to determine the legitimacy of files, domains, and emails using online resources such as VirusTotal, AnyRun, Abuse IPDB, Urlscan.io, and MX Toolbox

• Reviewed existing policies and guidance to ensure compliance with the National Institutes of Technology (NIST) Risk Framework

2023 :

CyberTech Labs

Cybersecurity (SOC) Analyst

● Conducted a comprehensive investigation of the 2017 Equifax Data Breach to evaluate and enhance the incident response process effectiveness.

● Performed in-depth analysis of Linux Log Data to conduct vulnerability assessments and gain insight into attack vectors.

● Evaluated various ML models to detect the stealthy, distributed SSH brute attacks in host-based environments.

● Utilized feature engineering techniques to validate the accuracy of the Software Defined Network dataset.

● Implemented automated content analysis of images for Digital Forensics investigation leveraging AWS services.

2021 : 2022

University of Nevada, Reno

Research Assistant

Company: Advantis Global - Apple

Years of Experience: 4

Skills Amazon Web Services (AWS), ChatGPT, Cloud Computing, Conflict Management, Critical Thinking, Cybersecurity, Cyber Threat Intelligence (CTI), Data Analysis, Databases, Data Science, Data Visualization, Digital Forensics, Incident Management, Incident Response, Information Security, Leadership, Linux, Log Analysis, Machine Learning, Malware Analysis, Microsoft Office, Network Security, NIST 800-53, NIST Framework, Operating Systems, Phishing Email Analysis, Problem Solving, Project Development, Project Management, Python (Programming Language), Research, Risk Management, Strategic Planning, System Administration, Technology Awareness, Threat & Vulnerability Management, Threat Analysis, Virtualization, Vulnerabilities Assessment, Vulnerability Management
About As a driven cybersecurity enthusiast, I bring a strong foundation in analysis, machine learning, and research, with a keen interest in applying these skills to the dynamic field of cybersecurity. I am eager to contribute to solving complex security challenges and fortifying digital environments through innovative problem-solving and continuous learning.