Cyber Security Analyst | SOC Analyst | Splunk SIEM | Wazuh SIEM | Threat Detection | Incident Response | Threat Hunting | Security Monitoring | Log Analysis
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AI-Powered-Phishing-Detection-System
May 10, 2026 – Present
🛡️ ThreatShield AI is an AI-powered phishing email detection system built using Python, Streamlit, Machine Learning, and NLP. It analyzes email content, suspicious URLs, and phishing indicators in real time using TF-IDF vectorization and a Naive Bayes classifier through an interactive SOC-style cybersecurity dashboard.
View ProjectApache-Server-Log-Analysis-using-Splunk
May 5, 2026 – Present
Splunk-based Apache log analysis project detecting brute force, SQL injection, XSS, LFI, and admin path scanning using custom SPL queries. Built for SOC/Blue Team portfolio.
View ProjectAWS-GuardDuty-Log-Analysis-using-Splunk
May 2, 2026 – Present
Ingested AWS GuardDuty JSON findings into Splunk to detect brute force, reconnaissance, IAM abuse, crypto mining, and S3 misconfigurations using SPL queries — simulating a SOC analyst workflow.
View ProjectSplunk-Dashboard-for-Cloudflare-Logs
April 6, 2026 – Present
Built a SOC-style Splunk SIEM dashboard that ingests Cloudflare JSON logs to monitor web traffic and WAF events in real time. The dashboard tracks total requests, HTTP 200 responses, WAF challenges, and WAF blocks through KPI tiles, visualizes top targeted URIs and client IPs via bar charts, and maps geographic traffic origins using IP geolocation.
View ProjectAI-Powered-Steganography-Vault
April 4, 2026 – Present
Hide encrypted secrets inside innocent-looking images using AES-256 + LSB steganography, powered by Groq AI.
View ProjectAI-Powered-Logs-Analyzer
March 22, 2026 – Present
AI Powered Logs Analyzer is a terminal-based cybersecurity project built using Python on Kali Linux. It leverages Machine Learning to intelligently analyze system, application, and security logs to detect suspicious activities, anomalies, and potential cyber threats.
View ProjectAI-password-Manager
March 15, 2026 – Present
VaultAI is an enterprise-grade, AI-powered password manager designed for secure credential storage and real-time cybersecurity intelligence. Beyond traditional encrypted vaulting, the platform features a Security Advisor powered by the Qwen-3-32B model via Groq, which provides automated password analysis, expert security tips, and a prioritized rem
View ProjectSSH-Authentication-Monitoring-Dashboard-Splunk-
March 15, 2026 – Present
The objective of this project is to design and implement a Splunk dashboard for monitoring SSH authentication activity on Linux servers
View ProjectSplunk-Dashboard-for-Web-Traffic-Logs
March 15, 2026 – Present
This project demonstrates the creation of an interactive Splunk dashboard to analyze Apache Web Traffic Logs in JSON format. The dashboard provides real-time insights into web activity, error trends, top resources, user IPs, and geographic traffic distribution.
View ProjectSSH-Log-Analysis-using-Splunk
March 15, 2026 – Present
This project demonstrates SSH authentication log analysis using Splunk SIEM to detect malicious activity such as brute-force attacks, unauthorized access attempts, and suspicious SSH behavior. It simulates real-world SOC analyst workflows, including log ingestion, SPL queries, dashboards, and alerting.
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily focused on cybersecurity, AI, and log analysis, which aligns well with roles requiring expertise in these areas. The diversity of projects within this niche (phishing detection, password managers, log analyzers, Splunk dashboards) shows a broad understanding and application of related concepts. The personal nature of all projects suggests a self-starter who is passionate about their chosen field. This specialization could be a strong cultural fit for security-focused engineering teams.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and a focus on practical application of technical skills. The consistent theme of cybersecurity and AI across projects suggests a dedicated and focused individual. However, without psychometric or English test scores, it's difficult to assess communication clarity, teamwork, or stress handling directly. The detailed project descriptions suggest good written communication skills.