Amael Dago

Amael Dago is currently a Data Scientist specializing in MLOps at Aquila Data Enabler since January 2023. Previously, Amael served as an NLP Engineer at Vocads, where key accomplishments included designing a semantic search engine and developing a scalable question-answering system. Experience at CNRS involved creating a deduplication algorithm and an author name disambiguator, achieving high accuracy and deploying models to production. Earlier roles included a Junior Data Scientist position at the Observatoire régional de la santé et du social, focusing on textual analysis and model development, as well as various data analysis positions in sales forecasting and complaints management. Amael holds a Master's degree in Data Science and Statistical Modeling and has a strong educational background in mathematics and applied statistics.