At Deloitte, I worked on AI-driven security analytics platforms involving large-scale log ingestion, feature extraction, and behavior-based anomaly detection. I validated model logic, detection rules, and automated decision pipelines across Oracle Cloud and AWS.
I collaborated on data preprocessing, model evaluation, and performance tuning for ML-powered threat detection systems. Using Python, SQL, and cloud VMs, I analyzed datasets, tested hypotheses, and supported ML-based automation workflows.
I applied model interpretability principles to explain detection outcomes and support auditability. In real-time, high-stakes environments, I balanced precision and recall tradeoffs under operational constraints.
I also delivered technical documentation and analytical reports for enterprise clients. My projects include a situationally aware music recommendation prototype deployed on Heroku, a Python portfolio manager app, and an AI SIEM Investigation Co-pilot.
