My role involved leveraging large datasets, behavioral signals and content analysis to design, test, and deploy advanced detection systems that improved the organization’s ability to identify and block malicious emails in real time. Have good experience digging through data using Python, Jupyter Notebooks, PySpark, AWS
Key Responsibilities
Took ownership of researching and implementing approximately 60% of all static detection rules within a team of four security researchers, collaborating closely with Data Science teams to propose enhancements and new features for machine learning algorithms.
Cybersecurity Professional with 19 years of experience in threat detection, incident response, malware analysis and phishing research. Skilled in leveraging AI/ML for anomaly detection, conducting threat hunting and leveraging threat intelligence to strengthen defenses. Proficient in Python, Jupyter Notebooks, AWS, SIEM, EDR, YARA, and Splunk, with experience collaborating with data science/engineering teams to refine detection models and automate security workflows. Developed a growing passion for email security.
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