Summary
Prahlad Menon is a data scientist and former Carnegie Mellon tenure-track faculty with a PhD in biomedical engineering who turns advanced AI and physics-based modeling into measurable business impact across healthcare, manufacturing, retail and finance. He has led cross‑continental consulting practices and delivered over $2.5M in digital transformation projects—spanning predictive maintenance, derailment risk analytics, statistical process control and medical image diagnostics—while managing 100+ indirect reports across three time zones. A published researcher with 100+ peer‑reviewed papers and a Bayer Global Digital Innovation Award winner, he blends deep technical chops in Python, R and MATLAB with practical cloud deployment experience on Google Cloud, AWS and Azure. Notably, he worked on the first breath‑based COVID-19 ML test published in The Lancet and has hands‑on expertise in time‑series forecasting, IoT signal classification and clinical trial biostatistics. Comfortable moving projects from research prototypes to validated production systems, he excels at bridging academic rigor and commercial outcomes.
9 years of coding experience
MS, MS at Carnegie Mellon University
B Tech, B Tech at National Institute of Technology Karnataka