Shaefer Drew
Data Scientist
About Me
Hi, I'm Shaefer. Welcome to my data science portfolio! Since 2017, I have used data science to explore my interest in many different fields, including finance, politics, cybersecurity, retail, sports analytics, and even craft beer. I also developed a passion for cybersecurity at a young age, beginning with competing and placing on the state and regional levels for CyberPatriot in high school. These interests intersected early in my career and led me to my current role as a cybersecurity data scientist at CrowdStrike, where I use machine learning to strengthen the cyber defense of our customers. While I have a wide breadth of experience in cybersecurity data science, I am particularly interested in AI interpretability and explainability. When I'm not crunching numbers, I'm likely indulging in one of my many random hobbies, ranging from Brazilian Jiu Jitsu to backpacking.
Education
Work Experience
Publications
ML-Powered LDAP Reconnaissance Detection using Weak Supervision
Identifying Security Platform Product Abuse with Machine Learning
Patents
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Machine-Learned Suspicious Query Detection
US Patent Application 18/630,106, 2025 -
CPE prediction using banner-prompted LLM
US Patent 12,625,973, 2026 -
Behavior-based asset classifications
US Patent 12,627,700, 2026 -
CPE Prediction Using Banner Similarity
US Patent Application 18/895,780, 2026 -
CPE prediction using banner-prompted AI/ML modeling
US Patent 12,549,590, 2026 -
Patch complexity classification
US Patent Application 18/755,268, 2026
Side Projects
Ensemble Model for Intrusion Detection and Prevention
Intrusion Detection Dashboard
Phishing Detection using NLP and Machine Learning
Recommending Beers with Collaborative Filtering
Fantasy Football Auto-Drafter