Alex Amitraj
Philip
Cybersecurity Professional
Professional Summary
Cybersecurity professional with an MSc in Information Security from Royal Holloway, University of London (NCSC/GCHQ-accredited). Experienced in threat detection, SOC operations, incident response, and digital forensics. Completed a six-month internship at the Cyber Crime Department, Government of Puducherry, investigating phishing, financial fraud, and identity theft using Autopsy and FTK. Certified in CompTIA Security+ and CompTIA CySA+. Passionate about building automated security tools and contributing to resilient, well-defended systems.
Professional Experience
Cyber Crime Intern
Jul 2024 – Jan 2025
Cyber Crime Department · Government of Puducherry UT, India
- Investigated cybercrime cases including phishing, financial fraud, and identity theft; performed digital forensics using Autopsy and FTK.
- Supported ISO/IEC 27001-aligned policy development, incident response planning, and threat mitigation in collaboration with law enforcement.
- Delivered cybersecurity awareness and technical training to 200+ police officers, covering cyber hygiene, digital literacy, and crime prevention.
- Assisted in drafting Computer Security Policy and contributed to network security architecture improvements.
- Solved complex cybercrime cases and delivered capacity-building technical training sessions to the Police Cyber Team.
Education
MSc Information Security
Royal Holloway, University of London
2022 – 2024
NCSC / GCHQ Accredited
Cryptography · Network Security · Cyber Security · Cyber Forensics · Software Security · Penetration Testing · Security Management · Incident Response
B.E Electrical & Electronics Engineering
Sri Krishna Institutions, Coimbatore
2017 – 2021
Data Structures · Linux & C++ Programming · Control Systems · Smart Grid Technology · Digital Signal Processing · Power System Analysis · Microprocessors & Microcontrollers
Academic Projects
Parses .eml email headers to detect phishing indicators — extracting sender IPs, analysing metadata, and flagging suspicious keywords. Demonstrates practical email forensics and phishing investigation techniques.
Detects suspicious authentication activity from system logs — flags repeated SSH failures and brute-force patterns, generating SOC-style alerts with suspicious IP details.
Extracts IPs from network logs and evaluates reputation via AbuseIPDB API — automated risk classification combining log analysis with external threat intelligence for IOC enrichment.
Financial Fraud Detection System
Python
Machine Learning
Hybrid ML system using Neural Networks, Random Forest, and XGBoost to detect fraudulent financial transactions. Combines multiple classifiers for improved accuracy and reduced false positives.
Technical Skills
SOC & Incident Response
Log Analysis
Alert Triage
Incident Response
Threat Detection
Threat Hunting
Forensics & Security
Digital Forensics
Autopsy · FTK
Malware Analysis
SAST / DAST
Pen Testing
Cryptography
Networking & Systems
TCP/IP · DNS · DHCP
Windows Admin
Linux Admin
Active Directory
Languages & Scripting
Python
Bash
PowerShell
C++
HTML
Volunteer Experience
Lions Club of Pondicherry
President 2021–22 · Active Member 2016–Present
Starfort Cybersecurity Awareness
Volunteer & Organizer · 2024
Languages
EnglishFluent
FrenchA2