Firdaous Hebbal

As a Security Analyst, I designed and implemented machine learning jobs to enhance threat detection capabilities. I managed security incidents, analyzed security logs using the ELK stack, and provided continuous monitoring in a 24/7 SOC environment. My role involved documenting incidents and generating security reports to inform stakeholders.

In my role as an AI/ML Security Engineer, I designed detection rules leveraging the MITRE ATT&CK framework and developed machine learning models for anomaly detection. I automated log parsing and enhanced data analysis capabilities, improving detection precision and response strategies.

As a Cybersecurity Analyst, I analyzed security events, developed detection rules, and monitored alerts to respond to potential security incidents. I delivered managed security services and prepared detailed incident reports with remediation recommendations.

In my position as a Log Management & SIEM Associate, I assisted in technical and organizational tasks, conducted investigations, and documented findings related to log management and SIEM infrastructure. I developed technical concepts and ensured their successful implementation.

Completed a Master of Science in Computer Science with a specialization in Artificial Intelligence. Engaged in various projects that involved developing systems for optimizing scheduling problems, simulating gameplay, and conducting exploratory data analysis using machine learning models.