Lab / Projects - Learning Secured

The Learning Secured Lab documents small experiments — from secure infrastructure setups to data visualizations based on learning-system data.

Each project connects theory from my studies with practical applications in cybersecurity and data science.

Moodle Login Anomaly Detection with Python — analyzing authentication logs to spot suspicious patterns.
Dockerized Secure Moodle Stack — building a hardened LMS environment for sandbox testing.
Student Engagement Heatmaps — using pandas + Plotly to visualize user-interaction data.

More projects coming soon — see my code on GitHub.