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shank078/README.md

Shankar Baral

Junior Cyber Security Analyst | SOC | Microsoft Sentinel | Splunk | KQL | Azure

Australian Permanent Resident Β· Canberra, ACT Β· Open to Sydney / Remote

LinkedIn Email TryHackMe GitHub


πŸ‘‹ About Me

Master of Information Technology (Cyber Security) graduate (GPA 4.92) working as an IT Support Specialist at Extratech while transitioning into a dedicated SOC analyst role.

I don't just study security β€” I build systems, expose them to live internet threats, and engineer the detections to stop them.

  • πŸ›‘οΈ Running a live Azure honeypot β€” 1,400+ real brute-force attempts captured, enriched, and mapped from 6+ countries
  • πŸ”­ Built a Dual SIEM Detection Lab β€” identical detection logic across Microsoft Sentinel (KQL) and Splunk Enterprise (SPL) simultaneously
  • ⚑ Deployed zero-touch SOAR pipelines β€” automated Jira ticketing via Logic Apps and piloting AI-driven tier-1 triage via IBM watsonx Orchestrate agents
  • πŸ“š Pursuing CompTIA Security+ (July 2026) Β· SC-200 (Q3 2026) Β· BTL1 (Q4 2026)
  • 🎯 Targeting Junior SOC Analyst roles in Australia

πŸ› οΈ Tech Stack

Security & SIEM

Sentinel Splunk KQL SPL MITRE Log Analytics

Cloud & Identity

Azure Entra ID Intune M365 Fabric

Automation & Tools

PowerShell Logic Apps watsonx Jira ServiceNow Cisco


πŸš€ Projects

πŸ›‘οΈ Dual SIEM Detection Lab

Microsoft Sentinel Β· Splunk Enterprise Β· KQL Β· SPL Β· MITRE ATT&CK Β· Azure

Live Windows Server 2022 honeypot simultaneously ingesting into both Microsoft Sentinel and Splunk Enterprise. 5 detection rules built in KQL and SPL β€” brute force, account lockout, geo-anomaly, privilege escalation, persistence. 4 real incidents auto-generated in Sentinel. Real attacker IPs. No simulated data.

β†’ Cross-platform query parity across KQL and SPL on live attacker traffic

View Repo


🌍 Global Threat Intelligence Lab β€” Azure Sentinel & Honeypot

Microsoft Sentinel Β· KQL Β· PowerShell Β· Azure Workbooks Β· IP Geolocation API

Exposed a Windows Server 2022 VM to the raw internet, then built a full SIEM pipeline with custom PowerShell scripts enriching every failed RDP event with geolocation data. Visualised on a live SOC dashboard with dual-state urgency logic (πŸ”΄ last 30 min / 🟑 last 24h).

β†’ 1,400+ real brute-force attempts from 6+ countries mapped in real time

View Repo


⚑ Cloud-Native SOAR Pipeline β€” Sentinel to Jira

Microsoft Sentinel Β· Azure Logic Apps Β· Jira REST API Β· KQL Β· SOAR

Zero-touch incident response pipeline β€” Sentinel detects a brute-force attack, fires an analytic rule, triggers a serverless Logic App playbook, and autonomously creates a fully contextualised Jira ticket in the SOC queue. No analyst touch required from detection to ticket.

β†’ Mean Time to Ticket: seconds. Manual effort: zero.

View Repo


πŸ” Azure Identity Security & Incident Response Lab

Microsoft Entra ID Β· MFA Β· Sign-in Logs Β· Audit Logs Β· Incident Response

Full red team compromise and blue team recovery β€” one person, both hats. Exploited the MFA enabled vs MFA enforced gap to perform a complete account takeover using credential theft and MFA hijacking. Then switched hats: detected impossible travel (Australia β†’ Seattle), rebuilt the full attack timeline from Sign-in and Audit Logs, and executed a complete IR cycle β€” Contain β†’ Eradicate β†’ Recover β†’ Document.

β†’ Zero malware. Zero exploits. Just timing, stolen credentials, and a misconfigured control.

View Repo


πŸ”Ž Splunk SOC Detection Lab

Splunk Enterprise Β· SPL Β· Windows Security Events Β· Azure Β· Incident Response

Standalone Splunk Enterprise SIEM deployment on Azure catching live brute-force attacks against an exposed Windows Server. Custom SPL queries correlating EventID 4625 β†’ 4740 (failed login β†’ lockout lifecycle). 28,963+ events ingested. 4 attacker IPs across 3 countries isolated. Emergency account recovery via Azure RunCommand when the attacker succeeded in locking out the admin.

β†’ 28,963 events ingested Β· 4 attacker IPs isolated Β· live incident response executed

View Repo


🚌 Real-Time Fleet Telemetry Pipeline β€” Microsoft Fabric

Microsoft Fabric Β· KQL Β· Data Activator Β· Eventhouse Β· Eventstream

Built a real-time anomaly detection pipeline on live streaming transit telemetry β€” same architecture as a Sentinel analytic rule but on Fabric's Eventstream engine. Iterated through 3 versions of KQL detection logic and resolved alert fatigue through threshold tuning (0 threshold β†’ 15 spam alerts in minutes β†’ >1h too strict β†’ >30min optimal). Case solved βœ…

β†’ Same KQL pattern used in Microsoft Sentinel analytic rules β€” applied to live IoT streaming data

View Repo


πŸ“œ Certifications

Certification Issuer Status
πŸ”΅ Blue Team Level 1 (BTL1) Security Blue Team In Progress β€” Target Q4 2026
πŸ”΅ SC-200: Security Operations Analyst Microsoft In Preparation β€” Target Q3 2026
πŸ”΅ CompTIA Security+ CompTIA Exam Booked β€” July 2026
βœ… Pre Security TryHackMe Completed May 2026

πŸŽ“ Education

Master of Information Technology (Cyber Security) Charles Sturt University Β· GPA 4.92 Digital Forensics Β· Cloud Security Β· Threat Intelligence Β· Dark Web Β· Data Mining

Bachelor of Computer Science & Mathematics Birendra Multiple Campus Β· First Division


πŸ’Ό Experience

IT Support Specialist β€” Extratech (June 2025 – Present) 30+ daily escalations Β· IAM & RBAC via Entra ID Β· Endpoint management via Intune Β· ASD Essential Eight alignment

Operations Support Specialist β€” Calvary Hospital (July 2022 – May 2025) Clinical data integrity Β· 100% Australian Privacy Principles compliance Β· Zero breaches across entire tenure


Always building. Always learning. Open to Junior SOC Analyst opportunities in Australia.

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  1. Dual-SIEM-Detection-Lab Dual-SIEM-Detection-Lab Public

    Dual SIEM lab β€” identical detections in KQL (Sentinel) & SPL (Splunk) on live attacker traffic. 5 MITRE ATT&CK mapped rules. Real incidents auto-generated