Summary
Amin Nejad is a Data Scientist with a PhD in Statistics & Machine Learning and nine years of applied analytics experience across academia, healthcare, public health, and agrifood industry settings. He builds production-ready models and tools—from transformer-based architectures (SERT) and the LogANN encoding for log analytics to a Python package that simplifies tabular and time-series modeling—bridging research and operational needs. His work has driven real-world decision tools such as Ireland’s real-time excess mortality tracker and travel-risk dashboards during COVID, and causal inference models for environmental monitoring. Known for collaborating closely with domain experts, he combines strong statistical rigor with practical data engineering to turn noisy, sparse inputs into actionable insight.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Statistics & Machine Learning, Doctor of Philosophy - PhD, Statistics & Machine Learning at Maynooth University
Master of Science - MS, ENGINEERING, Master of Science - MS, ENGINEERING at Boğaziçi University
English, Persian, Turkish