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Cybersecurity Analyst with less than a year in AI/ML & Threat Detection
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Assessing your cultural and operational fit
Faisal A is a Computer Science undergraduate with a strong interest in cybersecurity, network security, and threat detection. He is experienced in building security-focused projects and applying analytical skills to solve real-world security challenges. His expertise includes Python, Java, SIEM (Splunk), Threat Intelligence, Packet Analysis, and AI/ML integration, as demonstrated through projects like an AI-Powered SIEM Triage Assistant and a Network Packet Analyzer with Anomaly Detection.
Francis Xavier Engineering College
Bachelor of Engineering · Computer Science
August 1, 2023 – May 1, 2027
Threat Intelligence Aggregator with IOC Correlation
March 1, 2026 – June 1, 2026
Aggregated threat intelligence feeds and correlated IOCs using weighted risk scoring. Designed an optimized SQLite schema for IOC storage and threat tracking. Built a Streamlit dashboard for IOC search, bulk analysis, and threat prioritization.
Network Packet Analyzer with Anomaly Detection
February 1, 2026 – June 1, 2026
Built a real-time packet capture and anomaly detection system using Scapy and machine learning. Engineered a flow aggregation pipeline using CICIDS 2017 features for traffic analysis. Implemented SQLite-backed storage and REST APIs for packet metadata and anomaly tracking.
AI-Powered SIEM Triage Assistant
January 1, 2026 – June 1, 2026
Built a real-time threat detection system using FastAPI and a Random Forest model trained on the UNSW-NB15 dataset. Integrated LLaMA 3.2 via LangChain to automate security alert analysis and SOC report generation. Developed a Streamlit dashboard and alert correlation engine for coordinated attack detection.
NPTEL Cybersecurity & Privacy
NPTEL
June 1, 2026 – Present
NPTEL Cloud Computing
NPTEL
June 1, 2026 – Present
Red Hat System Administration I (RH124)
Red Hat
June 1, 2026 – Present
Google Cybersecurity Professional Certificate
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects are highly relevant to a Cybersecurity Analyst role, demonstrating a clear passion and focus. The diversity of projects (SIEM triage, packet analysis, threat intelligence) shows a broad interest within cybersecurity. However, as an undergraduate with no professional experience, the cultural fit for a senior role is limited by the lack of exposure to corporate environments, team dynamics, and stakeholder management.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted security challenges. The academic nature of projects suggests a learning-oriented individual, but lacks evidence of real-world operational experience or collaboration within a professional team setting. The focus on building tools implies problem-solving and analytical skills.