Ugochukwu Daniel

Results-driven SOC Analyst with demonstrated expertise in threat detection, log analysis, and security operations. Proven ability to correlate 50,000+ security events in Splunk SIEM to identify account-compromise patterns. Built custom IDS detection rules achieving 100% detection rate. Certified in Google Cybersecurity and actively developing advanced SIEM and threat-hunting capabilities through hands-on lab projects and professional training.

IT Support Personnel (NYSC Corps Member) at Transmission Company of Nigeria (2023-09 – 2024-09)

• Resolved 95%+ of technical support tickets within SLA, managing 150+ monthly requests across 10 regional offices
• Implemented proactive system monitoring reducing network downtime by 30% through early issue escalation
• Conducted security audits identifying 15+ configuration gaps; documented remediation steps reducing vulnerability exposure
• Digitized critical business records (1000+ documents), reducing retrieval time by 40% and improving compliance documentation

SOC Analyst Training & Hands-On Development at Neo Cloud Technologies (2025-11)

Completed structured SOC analyst training covering SIEM operations, incident response, and threat detection

• Developed Python and Bash-based threat detection tools processing 5,000+ security events with 80% automation improvement
• Developed Splunk SIEM lab achieving 50,000+ log correlation for SSH brute-force detection (40% faster investigation)
• Created Suricata IDS threat detection lab with 4 custom detection rules and real attack simulation

Mastercard Cybersecurity Job Simulation at Forage (2026-06 – 2026-06)

• Applied phishing detection methodology; identified 12+ threats indicators targeting staff
• Documented findings and recommended targeted security awareness procedures

Deloitte Australia Cyber Job Simulation at Forage (2026-06 – 2026-06)

• Analyzed web activity logs identifying suspicious patterns in simulated breach environment
• Recommended containment and response actions based on incident severity classification

University of East London