Three projects that show PFA readiness.

Log investigation / Splunk

Intrusion reconstruction from security logs

Reconstructed a Volt Typhoon-style intrusion from Windows and application logs, then organized the result into a readable timeline with indicators and detection queries.

• Mapped attacker behavior across account takeover, command execution, persistence, credential access and cleanup.
• Used Splunk searches and event correlation to move from raw logs to an incident narrative.
• Relevant to cyber reporting, signal triage and clear technical restitution.

Applied ML / Risk classification

Fault classification prototype from sensor data

Built a Python prototype that classifies pump fault risk from sensor values and presents the result through a simple desktop interface.

• Prepared data with Pandas and trained a Random Forest classifier with Scikit-learn.
• Translated model output into a readable risk level for the user.
• Useful pattern for AI/Data internships: data preparation, classification workflow and explainable output.

Web security / User input

SQL injection and XSS testing in DVWA

Tested common web vulnerabilities in a controlled vulnerable application to understand how unsafe input handling becomes a platform risk.

• Observed SQL injection and XSS behavior in forms and browser-based workflows.
• Connected the findings to practical mitigations and safer input handling.
• Relevant to reporting modules, portals, assistance chatbots and public forms.