Gallery
Experience
Machine Learning Engineer
Developping platform for the management of an epidemic (case of covid-19):
[Teleworking].
-Build an NoSQL model .
-Develop a service for setting up online surveys.
-Statistical analysis of data"surveys".
-Build the dependcy graph .
-Propose a method based on similarity / times series to compute
deaths.
-COVID-19 identification in chest X-ray images.
-Applying deep learning algorithm to maintain social distance in public place.
Key words:surveys,data science,identification,social distance .
Tools:Angular,mongoDb,python,keras,flask.
Machine Learning R&D Engineer
Build a dataset with the radiative transfer model (DART).
Semantic segmentation of urban scenes based on RGB and thermal data.
Deep learning-based semantic segmentation for 3D point clouds.
3D point cloud registration .
Key words: semantic segmentation,thermal data,3D point clouds,LiDAR point cloud.
Tools: DART,python,pyTorch,tensorFlow,Numpy,sklearn.
Master (M2) Internship
Simulation and forecasting of road traffic using neural networks
artificial (ANN), SVM and KNN: Case of the M6 motorway from Manchester and A1
from Tunisia.