PROFESSIONAL EXPERIENCE
MARS 2019 – | DATA SCIENTIST | REDLAB
• Project to reduce specifications on product quality attributes
o Gawk, Python (sklearn / pandas / keras / tensorflow …)
• Visual recognition of faults on parts during the manufacturing
process
o Neural network, YOLO, CNN
o Python (keras / tensorflow / toolbox / skimage)
• Integration of continuous real-time data flows on a DatawareHouse
o Scala, Spark, Kafka, Nifi, Hive, Hbase, Phoenix, Hadoop
• Face detection application
o Neural network, CNN
o Python (OpenCV, Flask, SciPy, Skimage)
MAI 2018 – JUILLET 2019 | INTERNSHIP| LITIS LABORATORY
• Supervised classification of acoustic scenes that characterize the
environment in which they were recorded (Kaggle DCASE 2018).
o Neural network (RNN, CNN, LSTM, CRNN)
o Python (keras / tensorflow / librosa).
PROJECTS
2019 – DOCUMENT CLASSIFICATION
• Automatic classification methods for scanned documents
• Python (Skimage, Keras, SciPy)
2018 – SOUND ONSET DETECTION
• Onset detection of musical notes in a signal
• Python (Librosa), Spectrogram
TRAINING
2019 – MASTER DATA SCIENCE – INSA ROUEN / UNIVERSITY OF ROUEN
Décrivez en une ligne les objectifs et les spécialités de cette formation.
2017 – BACHELOR ELECTRONICS & AUTOMATICS – UNIVERSITY OF
ROUEN
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2014 – DUT MESURES PHYSIQUES – UNIVERSITY OF ROUEN
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LANGUAGES
French
English
Arabic