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NASA JPL postdoc data scientist, build a deep learning architecture to identify the fingerprints using the
altimetry data in order to calibrate Grace mission and other satellite and also identify the zones at risks. ,
Data : Satellite images and altimetry.
NASA JPL postdoc data scientist, build a deep learning architecture to identify the fingerprints using the
altimetry data in order to calibrate Grace mission and other satellite and also identify the zones at risks. ,
Data : Satellite images and altimetry.
Data scientist with Engie R & D drone and robots group, Build a deep learning algorithm to detect the
anomalies : Mask-R-CNN and Yolov5 and build an anomaly map, Major skills: Jupyter notebook, Python,
Scikit-learn, Tenserflow, GPUs, (Machine Learning and Deep Learning...).
Data scientist with Engie R & D drone and robots group, Build a deep learning algorithm to detect the
anomalies : Mask-R-CNN and Yolov5 and build an anomaly map, Major skills: Jupyter notebook, Python,
Scikit-learn, Tenserflow, GPUs, (Machine Learning and Deep Learning...).
Data scientist to analyse the InSight mission data, Build a deep learning algorithm to detect and classify
automatically martian events from the raw seismic data to build a final catalog for the team, Major skills:
Python, Scikit-learn, Tenserflow, GPUs, CNN, LSTM, Scattering transfrom (Machine Learning and Deep
Learning...).
Data scientist to analyse the InSight mission data, Build a deep learning algorithm to detect and classify
automatically martian events from the raw seismic data to build a final catalog for the team, Major skills:
Python, Scikit-learn, Tenserflow, GPUs, CNN, LSTM, Scattering transfrom (Machine Learning and Deep
Learning...).
CubeSat space mission operations responsable, Proposal to JAXA and UNOOSA for TUNSAT-1 CubeSat
Deployment from the International Space Station(ISS) Japanese Experiment Module (Kibo) , : Mission
analysis and operation skills.
IPGP Machine Learning Workshop, I gave a lesson on Machine Learning and Deep Learning application
in seismology, Machine Learning skills: scikit-learn, tenserflow, keras, GPUs.
Math + X Symposium on Inverse Problems and Deep Learning in Space exploration , Houston , Rice
University, Deep Learning skills.
Neural Networks, GANs, CNN, LSTM, RNN, Scattering transform
NASA JPL internship , to be familiarized with InSight mission operation and major SEIS data manipulation,
Space mission data processing.