My Android malware detection project brought together large, noisy datasets and an end-to-end machine learning pipeline, from cleaning and transformation to feature extraction and model evaluation. I compared classical machine learning, deep learning, and ensemble models, optimizing precision, recall, and F1-score to reduce false negatives.
In my IoT malware detection project, I extracted behavioral and statistical features from network traffic and evaluated lightweight models for resource-constrained environments. As a Security Analyst Intern at Compliance Wing and Risk Associates Canada Inc. - Offensive Security Division, I performed security assessments and vulnerability testing and prepared remediation reports.
