Summary
Shaefer Drew is a Senior Data Scientist with eight years of experience designing machine learning models to detect and defend against cybercriminals, currently advancing threat detection at CrowdStrike. His career blends hands-on model development and analytics roles across cybersecurity practices at KPMG and CrowdStrike, plus applied data work for academia and startups, showing versatility in remote and on-site environments. Trained at the University of Michigan in data and information science, he moves models from prototype to production with an eye for operationalizing detections at scale. Notably, his background includes founding a tech venture and contributions to election-related analytics, reflecting an entrepreneurial bent and interest in high-impact, real-world applications of data science.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Information Science (Data Science concentration) Coursework in Applied Statistics and Economics, Bachelor's degree Information Science (Data Science concentration) Coursework in Applied Statistics and Economics at University of Michigan
Bachelor's degree Data Science, Bachelor's degree Data Science at University of Michigan - School of Information
High School Degree, High School Degree at Cherry Creek High School
English, Spanish