Wrote comprehensive technical documentation for core security alerts and investigation workflows. This initiative is projected to reduce future analyst training and development time by 30%, ensuring a consistent and rapid response across the SOC.

Led the integration of Nexus AI within Proofpoint. By transitioning from static, rule-based filtering to an AI-learned response model, I automated a historically manual triage process, saving analysts 25% of their weekly investigation time.

Investigated alerts across a network of 2,500+ employees using Splunk and CrowdStrike, maintaining zero operational downtime by identifying risks before they escalated into incidents.

Leading a comprehensive Information Security Risk Management (RMaP) project using the NIST 800-53 framework. This involves performing a gap analysis and implementing security controls within the UASecure platform.

Established a hardened infrastructure that allows for federal research data to be processed with 100% adherence to university and grant-mandated security standards, moving beyond check-box compliance to functional security.

Leading a team to process 14M+ data points, identifying key awareness leakages in the current marketing funnel to scale fan attendance and organizational revenue through advanced data modeling.

Developed a data-driven strategy projected to increase organization revenue by 10% and scale attendance potential by 20% through targeted engagement and funnel optimization.