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Stephane F. has a diverse background in machine learning engineering and data science. They most recently worked as a Lead Machine Learning Engineer at Webflow starting in 2022. Prior to that, they held the position of Staff Machine Learning Engineer at PointCard™ from February 2022 to July 2022. During this time, they were responsible for creating data pipelines, integrating Kafka with Spark, and automating backend services using Python.

Before joining PointCard™, Stephane worked at Square from 2017 to 2022. They started as a Senior Machine Learning Engineer and later became a Staff Machine Learning Engineer. At Square, they developed a deep learning-based recommender system and created a Python package for text and image vectorization. They also led the development of an ML deployment platform and built a cross-sell model using LightGBM.

Stephane's work experience also includes roles as a Data Scientist at Medium.com from 2016 to 2017, where they built a churn analysis model and developed an in-house machine learning platform. They also worked as a Data Scientist at Ubisoft from 2015 to 2016, where they created a sentiment analysis prototype and developed customer segmentations. Stephane started their career as a Data Analyst at Ipsos Marketing Analytics from 2013 to 2015.

Overall, Stephane has extensive experience in machine learning engineering, data science, and analytics across various industries and companies.

Stephane F. began their education at Lycée Du Parc, where they pursued a Bachelor of Science (B.Sc.) degree in Physics and Industrial Engineering from 2007 to 2010. Following this, they enrolled at Ecole Nationale Supérieure des Mines de Nancy, where they completed a Bachelor of Science (BSc) in Applied Mathematics & Industrial Engineering from 2010 to 2013. Finally, Stephane pursued a Master of Arts (MA) in the Mathematics of Finance at Columbia University from 2012 to 2013.