Digital Forensics and Incident Response: Investigation, Evidence Preservation, and Timeline Reconstruction;

Security Automation with Python A real-time log monitoring and alerting system built with Python. This project automates log parsing, anomaly detection, IP enrichment (via ipinfo.io), and Slack-based alerting. It includes a live Streamlit dashboard and a watchdog-based monitor to simulate a lightweight SIEM pipeline — ideal for SOC Tier 1/2 work

Distributed log analytics system using PySpark and Streamlit with AI-powered insights via Gemini API.