Summary
Emma Demarecaux is an NLP Engineer with eight years of experience combining applied mathematics and data science training from École Polytechnique, ENSTA Paris and DTU with hands-on industry work. At Feedly she progressed from machine learning intern to NLP engineer, applying production ML to real-world information retrieval problems, and earlier internships at Criteo and Visma yielded measurable gains in RMSE and fisheries prediction using Spark, Scala and LSTM models. She has strong statistical modeling and engineering chops—GAM/GLM, time series and deep learning—plus practical big-data experience (Hadoop/Spark) for building scalable pipelines. Comfortable moving between research and production, she also brings domain versatility from energy systems to ad-tech, and a knack for turning complex datasets into actionable models and tools.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at École Polytechnique
Master of Science - MS, Applied Mathematics and Data Science, 3.89 GPA, Master of Science - MS, Applied Mathematics and Data Science, 3.89 GPA at ENSTA Paris
Classe préparatoire MPSI-MP*, Classe préparatoire MPSI-MP* at Lycée Louis-le-Grand
Technical University of Denmark