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Damilola Ibilola

Damilola Ibilola

SOC Analyst - Cybersecurity

NIGERIA flag
Lagos, Nigeria
Entry LevelLabelbox

Key Skills

Software

LabelboxLabelbox

Top Subject Matter

No subject matter listed

Top Data Types

No data types listed

Top Label Types

No label types listed

Freelancer Overview

I have hands-on experience in analyzing and annotating data for cybersecurity applications, including incident detection, vulnerability assessment, and threat analysis. My background as a SOC Analyst Intern involved collecting, labeling, and interpreting security event logs using tools like Splunk and Wazuh, which strengthened my attention to detail and ability to identify patterns and anomalies in large datasets. I have also conducted vulnerability assessments on web applications, where I documented and categorized security issues, demonstrating strong data annotation and reporting skills. My technical proficiency with SIEM tools, Wireshark, OWASP ZAP, and both Windows and Linux environments, combined with my analytical mindset and commitment to data accuracy, enables me to contribute effectively to AI training data and data labeling projects, especially in cybersecurity and network security domains.

Entry Level

Labeling Experience

Labelbox

Data Labeling Specialist

LabelboxImageClassification
I labeled and annotated large datasets involving images, text, audio, and video for machine learning projects. I followed strict annotation guidelines and ensured over 98% labeling accuracy throughout multiple projects. I conducted quality reviews, corrected mislabeled data, and contributed to improving model performance. • Labeled image, text, audio, and video data consistently • Used annotation tools such as Labelbox, CVAT, and SuperAnnotate • Focused on data quality assurance and error reduction • Collaborated with project team to clarify and implement labeling standards.

I labeled and annotated large datasets involving images, text, audio, and video for machine learning projects. I followed strict annotation guidelines and ensured over 98% labeling accuracy throughout multiple projects. I conducted quality reviews, corrected mislabeled data, and contributed to improving model performance. • Labeled image, text, audio, and video data consistently • Used annotation tools such as Labelbox, CVAT, and SuperAnnotate • Focused on data quality assurance and error reduction • Collaborated with project team to clarify and implement labeling standards.

2023

Education

L

Lagos State University

Bachelor of Science, Microbiology

Bachelor of Science
2021 - 2024

Work History

R

RedyNox

Cybersecurity Intern

Lagos
2025 - 2025
N

NexQuantum Technologies

SOC Analyst Intern

Lagos
2025 - 2025