Security and Data Analytics Extern (AI/analytics-focused work on smart contract vulnerabilities)
Analyzed and categorized smart contract vulnerabilities to improve data categorization and risk assessment skills. Performed frequency and correlation analysis of risk tags to identify prevalent vulnerabilities and their associations. Applied unsupervised machine learning for cluster analysis to profile common risk patterns in smart contracts. • Organized vulnerability and risk-tag data for categorization • Conducted statistical association analysis across risk tags • Used clustering outputs to infer shared vulnerability patterns • Produced analyzed insights for smart contract risk profiles