Meilame Tayebjee
As a Data Scientist at the Innovation Lab of the French National Institute of Statistics and Economic Studies (Insee), I focus on the deployment of machine learning models, the enhancement of MLOps best practices, and the development of torchTextClassifiers, a PyTorch package designed to streamline the training of deep learning models for text classification.
I am also pursuing a PhD in Computer Science jointly at CREST and Inria, where my research centers on foundational Transformer-based models for the analysis of healthcare pathways.
Session
Discover how Insee (French National Statistics Institute) transitioned from fastText to a PyTorch-based model for text classification by developing and open-sourcing the torchTextClassifiers python package. This presentation will cover the creation, deployment, and practical applications of torchTextClassifiers in modernizing automatic coding systems, benefiting Insee and other European National Statistical Institutes (NSIs).