Welcome to my cybersecurity portfolio!
I’m a SOC Analyst at Deloitte with hands-on expertise in threat detection, vulnerability management, security operations, and incident response.

Through both professional experience and research contributions, I’ve built projects that simulate real-world enterprise security challenges—from creating detection use cases to securing the software supply chain.

This portfolio highlights some of my key technical and research-driven projects. 🚀

• Enterprise Vulnerability Management Dashboard (Splunk/Kibana)
  End-to-end dashboard ingesting vulnerability data (Nessus/Qualys) into Splunk/Kibana for executive-level reporting and prioritization.

• Automated Patch & Remediation Scripts (PowerShell & Python)
  Scripts to streamline vulnerability remediation workflows, integrating with ticketing systems (ServiceNow).

• Secure Software Supply Chain Risk Analyzer
  Tool to analyze software dependencies and flag outdated or vulnerable libraries, ensuring SDLC security continuity.

• Mini SOC & Threat Intelligence Platform (ELK Stack & MISP)
  Simulated a SOC environment with log ingestion, correlation rules, and a threat intelligence integration for proactive monitoring.

• Threat Hunting Playbook & Detection Use Cases (KQL/Splunk)
  Detection queries and playbooks for phishing, lateral movement, privilege escalation, and APT-style attacks.

• Adversary Simulation Lab (Red vs Blue)
  Lab environment emulating attack techniques (phishing, PowerShell exploitation, persistence) with corresponding detection and response measures.

• Healthcare Data Security Framework (HIPAA/NIST Alignment)
  Security framework designed to safeguard healthcare records using encryption, anomaly detection, and role-based access control.

• IoT/WSN Data Privacy Experiment
  Implemented privacy-preserving protocols for IoT healthcare sensors to protect sensitive patient data.

• Cloud Security Hardening Project (Azure Security Center)
  Built a cloud security baseline using Microsoft Defender for Cloud with compliance checks aligned with CIS benchmarks.

• AI for Cybersecurity Threat Prediction
  Machine learning model for classifying malicious vs benign network traffic to support early detection.

• Assessment of Cybersecurity Regulations in the US
  Research evaluating the effectiveness and gaps in U.S. cybersecurity policy frameworks.

• Ethics of AI in Cybersecurity
  Analysis of AI adoption in cybersecurity, focusing on bias, accountability, and governance.

⭐️ Feel free to explore my repositories and projects—always open to collaboration, knowledge-sharing, and innovative ideas in cybersecurity!