Binus University
Bachelor of Cybersecurity, Cybersecurity
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I am a detail-oriented professional with 3+ years of experience in data analysis, classification, and labeling through my work in cybersecurity operations. My background as a SOC Analyst and Cyber Intelligence Officer has given me hands-on expertise in reviewing large volumes of logs, alerts, and datasets, identifying anomalies, and accurately classifying events with consistency. These skills translate directly into data annotation and AI training, where precision, guideline adherence, and quality control are critical. I have worked extensively with tools such as SIEM, IDS/IPS, WAF, and EDR platforms, where I regularly labeled, tagged, and categorized security events to support threat detection and risk-based vulnerability management. I also created structured daily and monthly reports, ensuring data quality and reliability for executive decision-making. Additionally, I conducted penetration testing and vulnerability classification, mapping findings against frameworks like OWASP Top 10 and MITRE ATT&CK, which required the same attention to detail and rule-based decision-making as high-quality annotation tasks. Combining technical expertise with a passion for accuracy, I bring strong skills in pattern recognition, dataset labeling, and documentation. I am eager to apply these capabilities to AI/ML projects by delivering high-quality, reliable, and scalable annotated data across text, log, and security-related datasets.
Andrew Nikko T. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Cybersecurity, Cybersecurity
SOC Analyst
Cyber Intelligence Officer