Vedant Parte

Final-year Computer Engineering student with hands-on experience in Security Operations Center (SOC) monitoring, log analysis, and threat investigation. Skilled in threat intelligence, IOC analysis, and security alert handling using SIEM tools. Built automation scripts to improve SOC efficiency and developed a machine learning-based phishing detection system.

A quick learner with strong attention to detail and a dedicated approach to problem-solving, currently expanding knowledge toward offensive security and penetration testing through practical labs and self-learning with TryHackMe.

SOC Intern - Astra Cybertech

(2026-01 - 2026-04)

• Monitored and analyzed security alerts using SIEM tools, performing log analysis to detect suspicious activities
• Performed daily security case studies and Investigated incidents within SLA timelines, using threat intelligence and IP indicators, and escalated when required
• Worked with enterprise clients to support security monitoring and incident response operations
• Developed a Python-based VirusTotal IP Reputation Checker to automate malicious IP analysis and improve investigation efficiency

Summer Intern - Oil and Natural Gas Corporation Limited (ONGC)

(2025-05 - 2025-06)

Developed a phishing URL detection system using machine learning to classify URLs as safe or malicious. Designed a feature extraction pipeline using WHOIS data, domain metadata, and URL structure patterns. Trained and evaluated multiple ML models, achieving 92.3% accuracy on the final classifier. Deployed the solution as a simple web application for real-time predictions, gaining hands-on experience in cybersecurity and applied machine learning.

B.E. - Computer Engineering - Fr. Conceicao Rodrigues College of Engineering (2022 - 2026)