Bertrand - Data Analyst / Data Scientist
Ref : 190607B001-
75017 PARIS
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Data Scientist, Data Analyst (34 ans)
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Freelance
Expérience professionnelle
Present 2017/01
PhD in Data Science @ Sysnav
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
2017/01 2016/04
Research Engineer in Data Science @ Sysnav
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
2015/07 2014/09
Machine Learning Algorithm Developer @ Safety Line
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
2014/08 2014/05
Machine Learning Algorithm Developer – Internship @ Probability, Statistics and Modeling Laboratory (LSPM)
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
EDUCATION
2016/03-2013/09
University Pierre and Marie CURIE (UPMC)
Master’s degree, Statistics – Data Sience & label Big Data, with honours
2014/05-2010/09
Supélec
Engineer’s degree, Mathematics applied to signal and information processing
SKILLS
Python
Tensorflow
R
Git
MySQL
Matlab
C
LANGUAGES
French Native language
English Level C1
German Level A2
Spanish Level A1