Summary
Daniel Mcandrew is a Senior Data Scientist at Akamai with seven years of experience building ML models and data pipelines to detect and mitigate large-scale bot and malicious web traffic. He combines an applied machine learning master's from UC Berkeley with a Caltech background in astrophysics and computer science, bringing strong quantitative modeling and systems instincts to security-focused products. His work spans productionizing statistical detectors at the edge, mining high-dimensional web traffic, and extending Bot Manager capabilities to new API threat patterns. Early career roles in image processing at Intel and astrophysics research (including running simulations and producing publishable telescope images) sharpened his signal-processing and reproducible-data workflows. Based in Berkeley, he pairs research-minded rigor with hands-on reliability engineering for live systems, and often bridges academic methods with product-grade implementations.
7 years of coding experience
5 years of employment as a software developer
Master of Information Management and Systems, Data Science and Applied Machine Learning, Master of Information Management and Systems, Data Science and Applied Machine Learning at University of California, Berkeley
California Institute of Technology
English, Spanish