George Iordanescu is a Data Scientist with nine years in industry and a deep academic pedigree (Ph.D. in Electrical Engineering and NIH postdoc) who builds end-to-end predictive analytics and anomaly detection solutions for manufacturing, healthcare, oil & gas, finance and insurance. At Microsoft he developed novel multivariate anomaly detection, time-series feature engineering, and imbalanced-data feature selection methods that were integrated into the Cortana Intelligence Suite, and has experience deploying forecasting and predictive maintenance systems at scale. His background spans hands-on research in medical imaging and cancer prediction, virtual colonoscopy CAD, and production NLP and Spark pipelines for claims processing, reflecting an uncommon blend of clinical research rigor and production ML. Based in Cambridge, MA, he combines advanced statistical modeling, unsupervised learning and computer vision with a track record of translating academic algorithms into practical products.
9 years of coding experience
16 years of employment as a software developer
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Polytechnic University of Bucharest
Postdoctoral Fellow, Virtual Colonoscopy Computer-Aided Diagnosis (CAD), Postdoctoral Fellow, Virtual Colonoscopy Computer-Aided Diagnosis (CAD) at National Institutes of Health
Contributions:135 commits, 5 PRs, 27 pushes in 7 months
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