π‘οΈ SOC Analyst L1 & Cyber Security Analyst | Microsoft SC-200 β’ AWS Certified β’ Zscaler ZTCA
Cybersecurity graduate with hands-on project experience in security monitoring, log analysis, incident detection, network traffic analysis, and vulnerability assessment. Proficient in Microsoft Sentinel, Splunk, Wireshark, Nmap, and Python, with a rigorous foundation in security alert triage, incident documentation, and network security operations.
Seeking an entry-level SOC Analyst (Tier 1 / L1) or Cyber Security Analyst role to contribute to real-time threat detection, incident analysis, and day-to-day security operations.
- π Education: B.Tech in Computer Science & Engineering (Cybersecurity) β Rajeev Gandhi Memorial College of Engineering and Technology (2022β2026, GPA: 7.9).
- π Coursework: Computer Networks, Cyber Security, Operating Systems, DBMS, DSA, Computer Architecture.
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| Project | Core Stack | Key Highlights | Links |
|---|---|---|---|
| Azure Sentinel Cloud SOC Lab | Microsoft Sentinel, KQL, AMA, Sysmon, Logic Apps | Built an enterprise cloud SOC lab analyzing Windows Security and Sysmon telemetry. Authored 4 custom KQL scheduled rules (T1110 brute force, T1105 Certutil LOLBAS, T1136 local admin creation, T1027 encoded PowerShell) and automated AbuseIPDB threat enrichment via SOAR. | Live Console β’ Repository |
| SIEM-Based Incident Detection | Splunk Enterprise, SPL, Windows Event Logs | Configured Splunk for centralized Windows Security Event Log collection. Formulated custom SPL queries to detect repeated failed logins, brute-force activity, and anomalous events with documented incident triage findings. | Repository |
| Wireshark Network Protocol Analysis | Wireshark, Packet Filters, TCP/IP, DNS, HTTP, ARP | Captured and investigated 100+ network packets across HTTP, DNS, TCP, and ARP protocols. Isolated plaintext HTTP credential leakage using packet filters and stream reconstruction with documented network security mitigations. | Repository |
| Project | Tech Stack | Description | Links |
|---|---|---|---|
| Network Outlier Detection (Ensemble ML) | Python, Scikit-learn, Flask, CIC-IDS-2017 | Led a team to build an intelligent ML-based network intrusion detection system utilizing ensemble Voting Classifiers to categorize normal vs. malicious traffic patterns. | Repository |
| E-Commerce Management System | MERN (React.js, Node.js, Express, MongoDB) | Full-stack e-commerce web application featuring global state management via Context API, dynamic product search/filtering, and zero-reload cart operations. | Repository |
| Data Structures & Algorithms Repository | Java, Python, OOP, DSA | Comprehensive repository of optimized data structures, dynamic programming algorithms, and competitive programming problem solutions. | Repository |
 
 
  
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π¬ Let's Connect: LinkedIn β’ Portfolio Website β’ songavenugopal@gmail.com β’ +91 9177462990
"Proactive threat detection through continuous telemetry monitoring, log analysis, and incident response."