Adrien Schaffner

Experience

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  MECAPROTEC INDUSTRIES

  Jul 2015 - Jul 2015

  Operator

  Unloading, picking and placing aeronautic components

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  Inserm Toulouse

  Jun 2018 - Sept 2018

  Data Scientist Intern

  Gaussian mixture and geostatistics models by using kriging

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  Continental

  Feb 2019 - Jul 2019

  Data Scientist Intern

  Data based predictive maintenance applied Surface Mount Technology production line through the use of deep learning(RNN, VAE...) and signal processing (wavelets,lowess filters...).

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  LivingObjects

  Sept 2019 - Dec 2021

  Data Scientist

  For a client in the telecommunications field:• Decision support algorithm for root-cause analysis of hardware failure• Prediction of hardware failure (predictive maintenance)• Time series prediction for structural capacity planning• Detection of anomalies and breaks in telephone network kpis• Pattern-mining of user habits • Prediction of user satisfactionFor a robotics customer: • Trajectory optimization• Dynamic calibration

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  Aqsone

  Dec 2021 - now

  Data Scientist Consultant

  For a customer in the aeronautics sector: • Anticipation of delivery delays using Machine Learning • Prediction of stall times due to non-conformities on an assembly line• Application of MLops methods to monitor model performance in production (Palantir)For a customer in the automotive sector: • Project audit on the Palantir cloud• Training teams in Palantir toolsFor a customer in the leather goods industry: • Piece purchase price prediction (Dataiku)For a customer in the space research sector:• Study and anticipation of strong wind factorsFor a customer in the airport sector: • Study of factors favoring rare events (Microsoft Azure, Power BI)For a customer in the healthcare sector:• Prediction of tooth loosening and explanation of influencing parametersInternal research projects:• Application of RAG (Retrieval-Augmented Generation) to create a chatbot capable of answering questions on a web page• Prediction of melanoma resurgence using computer vision• Optimization of an air-conditioning system using reinforcement learning Show less