Bertrand B. - Data Scientist Expert

Bertrand B.

Data Scientist Expert

  Paris (75)       600 €/jour       Expérience : 4-6 ans       Répond en 4h

Data scientist Python matlab deep learning tensorflow machine learning data science scikit-learn data visualisation data mining big data

En quelques mots

J'ai travaillé de manière très autonome sur différents projets "from scratch" : de la collecte/nettoyage et analyse de données à la conception de modèles adaptés jusqu'à l'industrialisation.
Travailler en free lance me permet de renouveler les challenges et découvrir de nouveaux secteurs et type de données. Je suis d'ailleurs actif sur Kaggle pour être au niveau de l'état de l'art sur les différentes problématiques en Data Science.
Je recherche toutes durées de mission, privilégiant des déplacements ponctuels plutôt que journalier.

Références

CIFRE PhD thesis in Data Science @ Sysnav 01/2017 - Present
Development of an activity recognition algorithm for ankle-mounted and wrist-mounted inertial device recorder with an innovative machine learning approach
• I collected and organized the data set
• I computed relevant features for the task based on topological data analysis, dynamic time warping and functional data analysis
• I computed an efficient prediction function combining gradient boosting and deep learning (CNN, LSTM, dense network) algorithms
• I optimized the code and developped an executable program
Currently used in clinical studies (supported by the OpenHealth Institute):
• Parkinson: tremor and dyskinesia crises detection
• Duchenne myopathy: stairs and running detection
Supervision of a team of 6:
• I attended a formation of management from SLP management
• I was in charge of recruitment: I designed technical tests and I led the interviews

Data Scientist @ Sysnav 04/2016 - 01/2017
Development of a stride detector algorithm for an ankle-mounted inertial device recorder with an innovative machine learning approach
• I collected and organized the data set
• I computed relevant features for the task based on patterns detection and functional data analysis
• I computed an efficient prediction function combining gradient boosting and deep learning (CNN, LSTM, dense network) algorithms
• I optimized the code and developped an executable program
• I monitored the code maintenance for clients

Data Science Algorithm Developer @ Safety Line 09/2014 - 07/2015
Development of a supervised learning algorithm applied to the flight data of black boxes I worked with a PhD student in Data Science co-developing the algorithms used for his thesis based on:
• Functional data analysis: wavelet, principal components analysis
• Features selection algorithm: permutation feature importance
• Random Forest

Data Science Algorithm Developer – Internship @ Probability, Statistics and Modeling Laboratory (LSPM) 05/2014 - 08/2014
Development of a Bayesian PAC algorithm for clustering with Gaussian mixtures
I developed the algorithm based on the work of B. Michel and S. Gaiffas ”Sparse Bayesian Unsupervised Learning”:
• Variable selection and estimation of the number of clusters based on Gaussian mixture models in high dimension
• Metropolis-Hastings algorithm with clustering-oriented greedy proposal

Etudes

2016 University Pierre and Marie CURIE (UPMC)
Master’s degree, Statistics – Data Sience & label Big Data, with honours

2014 Supélec
Engineer’s degree, Mathematics applied to signal and information processing

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