Nora is a machine learning expert who specializes in unbalanced data. She graduated with a master's degree in machine learning from Université Laval's Research and Machine Learning Group (GRAAL).
The supply chain industry was where she began her machine learning journey in 2017. In the insurance industry, she focuses on anomaly detection, fraud and customer churn and many other applications where the data of interest represents roughly 0.001% of the available data.
She also has previous experience in the applicability of algorithms in e-commerce.
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