Cybersecurity & Data Analytics
Overview: Developed a scalable, real-time platform for threat
detection, monitoring, and alerting across enterprise networks. The system
enables proactive security through AI-driven anomaly detection and role-based
access dashboards.
- ⟶ No real-time insight into potential threats
- ⟶ Disconnected tools and manual log reviews
- ⟶ Lack of audit-readiness and compliance visibility
- ⟶ Difficulty in scaling monitoring across teams
- ✔ Implemented a data lake with ETL for batch and stream data
- ✔ Built role-based dashboards tailored to teams
- ✔ AI-powered anomaly detection for real-time defense
- ✔ Deployed containerized architecture using Docker & Kubernetes
- ✔ 65% faster incident detection rates
- ✔ Reduced log review effort by 80%
- ✔ Full compliance with GDPR & internal security protocols
- ✔ Improved threat triage via automated alerting
- ✔ Enabled real-time threat defense at enterprise scale
- ✔ Simplified audit and compliance readiness
- ✔ Empowered security teams with actionable insights
- ✔ Built a scalable, resilient cybersecurity backbone