Projects
Projects
Academic — Bachelor's Level
Cybersecurity Risk Assessment
Built a weighted asset inventory and decision matrix to evaluate system criticality across a simulated multi-asset environment. Quantified risk using likelihood × impact scoring and developed cost-benefit mitigation recommendations aligned with industry standards.
A full-scope risk assessment conducted for a simulated small business running on legacy infrastructure with no existing security policies, trained IT staff, or incident response planning. The goal was to move from a completely unstructured environment to a prioritized, defensible security posture.
Phase 01
Asset Inventory
Catalogued each asset in the environment, documenting data classification, ownership, usage patterns, and recovery requirements. Established a clear baseline of what existed, what it handled, and what depended on it.
Phase 02
Asset Valuation Matrix
Built a weighted scoring model to rank assets by business importance. Criteria were selected and justified to reflect the organization's profile as a small consumer brand, balancing operational continuity, revenue impact, legal exposure, and reputational risk.
Phase 03
Risk Determination
Applied a likelihood-impact framework to score each asset's exposure. Identified environment-wide weaknesses including legacy software, lack of network segmentation, no multi-factor authentication, and no employee security training.
Phase 04
Risk Response
Developed per-asset mitigation recommendations scaled to a realistic small business budget. Proposals covered infrastructure modernization, access control improvements, network segmentation, backup hardening, and a structured employee training program.
Academic — Master's Level
Enterprise Risk Management
Conducted asset-threat-vulnerability assessments using Clearwater IRM|Pro, producing residual risk scores to inform control selection across a simulated enterprise environment. Applied NIST risk assessment methodology to quantify inherent vs. residual risk and develop prioritized mitigation plans with documented feasibility and effectiveness ratings.
Personal Project
AI OS
A personal AI operating system built on top of Claude Code: a layered system of agents, skills, workflows, and MCP integrations, backed by a persistent memory layer that gets smarter with use. Engineered for real productivity over demos, with automated triggers handling everything from a daily email and calendar brief to recurring scheduled tasks woven into daily life.
Certifications