Mously Diaw is a Machine Learning engineer and entrepreneur with 9 years of experience helping organizations turn data into business impact through predictive models, data strategy and MLOps. She co-founded Ellia Group and PassTonBac and leads ML initiatives at Groupe Clarins while running SenIA, a consultancy that delivers diagnostics, model deployment, training and AI acculturation for companies and schools. Her hands-on background spans customer lifetime value, churn, recommendation systems, NLP and cloud MLOps (Snowflake, Databricks, MLflow, PySpark) with repeated end-to-end production deployments. Known for making complex concepts accessible, she also mentors OpenClassrooms students and has a track record of building repeatable ML workflows and team practices across industries from finance to retail. An applied statistician by training (École nationale de la Statistique; Université Paris-Saclay), she blends rigorous quantitative roots with a talent for bridging technology and human-centered adoption.
9 years of coding experience
8 years of employment as a software developer
Diplôme d'ingénieur, Statistiques et informatique décisionnelle, Diplôme d'ingénieur, Statistiques et informatique décisionnelle at Ecole nationale de la Statistique et de l’Analyse économique Pierre Ndiaye
Contributions:3 pushes, 1 branch in 2 years 6 months
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