Raghav Nuwal

• Monitored & analyzed 10, 000+ enterprise security alerts using multiple SIEM
solutions
• Conducted security reviews and risk assessments by correlating logs and
network traffic to validate attack indicators including malware, unauthorized
access, and lateral movement.
• Fine-tuned SIEM detection rules to reduce false positives, improving alert
precision and overall detection efficiency — demonstrating a proactive approach to
automation and process optimization.
-Worked as SOC L2 Analyst, assisting in incident triage and rule tuning,
expanding cross-functional collaboration with internal teams and business
stakeholders.
• Prepared security reports & communicated findings with technical & business
stakeholders

• Learned & developed secure web applications using MongoDB, Express, React,
Node.js
• Implemented secure authentication mechanisms and REST APIs
• Gained understanding of web application architecture and common security
risks

• Developed object detection and ANPR models for Intelligent Transport Systems
(ITS).
• Applied deep learning (CNN) to enhance detection accuracy.
• Preprocessed datasets and optimized pipelines, resulting in improved training
efficiency and performance.