Projects
These are the projects I'm comfortable discussing in detail in an interview.
A machine learning model that predicts California housing prices using stratified sampling, feature engineering, data preprocessing, and regression models such as Linear Regression, Decision Trees, and Random Forests. Includes Grid Search optimization and evaluation on a dedicated test set.
Gained practical experience with AWS services (creating VPCs, launching EC2 servers, IAMs and security groups, S3 buckets, etc.). Built a strong understanding of AWS global infrastructure, shared responsibility model, and core architectural principles for designing scalable, secure cloud solutions
Configured and Deployed Snort IDS to monitor traffic between kali attacker and vulnerable metasploitable. Set custom alerts to identify attack attempts. Applied web based penetration testing strategies to capture logs for analysis. Documented SOC incident reports on the results of IDS performance.