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DEVAPRIYAN R

DEVAPRIYAN R

SOC Analyst

Chennai, India

I am a SOC Analyst with less than 1 year of experience in cybersecurity at Clue4 Evidence Forensic Lab. I developed an AI-powered Hybrid Malware Detection application that successfully reduced false positives by 30%, enhancing our threat detection capabilities. I am building toward a Cybersecurity Engineer role, leveraging my skills in incident response and security operations to create robust defenses against evolving threats.

Languages
TamilEnglishHindiMalayalam

Skills

Security OperationsSIEM & Security MonitoringThreat Detection & AnalysisIncident ResponseLog AnalysisNetwork SecurityWindows SecurityMalware AnalysisThreat IntelligenceDigital ForensicsWazuh SIEMMicrosoft SentinelMicrosoft DefenderWiresharkNmapNessusKali LinuxVirusTotalAutopsyFTK ImagerAnalytical ThinkingCritical ThinkingProblem SolvingAttention to DetailIncident InvestigationDecision MakingCommunicationTeam CollaborationAdaptabilityTechnical Documentation

Projects

AI-Based Hybrid Malware Detection & Defence Mechanism with Intelligent Voice Assistant Interface

Developed an AI-powered Malware Detection application using Python and Machine Learning, integrating Threat Intelligence and automated detection mechanisms to identify suspicious files and support proactive Threat Detection and Security Monitoring.

SQL Injection Playground with Detection Engine

Developed a SQL Injection security testing environment with Vulnerability Detection mechanisms, performed application security testing, and implemented secure coding practices based on OWASP guidelines.

Spyware Detection on Multiple Devices Using UFED

Investigated spyware artefacts across multiple devices using Cellebrite UFED, analysed digital evidence, and prepared comprehensive forensic reports supporting Security Incident Investigation.

Exploiting and Securing Broken Authentication

Investigated Broken Authentication vulnerabilities and implemented secure authentication mechanisms based on OWASP security guidelines.

Fraud Detection in Credit Card Transactions using Machine Learning

Developed a Machine Learning-based fraud detection system to identify suspicious financial activities using predictive analytics and anomaly detection for secure transaction monitoring.

Experience

Clue4 Evidence Forensic Lab

October 2023 – April 2024

Conducted Digital Forensic Investigations involving Windows systems, digital evidence acquisition, Security Event Analysis, Log Analysis, and Network Artefact Investigation. Prepared technical reports, maintained investigation records, supported Incident Investigations, and performed technical troubleshooting while following secure evidence-handling procedures.

Certifications

Google Cybersecurity Professional Certificate

2026

Certified in Cybersecurity (CC)

2026

Introduction to Cybersecurity

2026

Network Basics

2026

Ethical Hacking with Kali Linux

2026

Cyber Security Tools, Techniques and Counter Measures

2025

C & C++ Programming

November 2023 – January 2024

Education

MGR University, Chennai

M.Sc. Cyber Forensic & Information Security • 2024 – 2026

Karunya University, Coimbatore

B.Sc. Forensic Science • 2020 – 2023

Get in Touch

Interested in collaboration or just want to say hello? Feel free to reach out!

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