About Natasha
J'ai eu un doctorat en apprentissage profond de l'Institut Polytechnique de Paris et un master de recherche en apprentissage automatique. En tant que chercheuse en Machine Learning, je construis des solutions de machine learning et de deep learning pour différents cas d'utilisation tels que Computer Vision, NLP et autres utilisant le langage de programmation Python. Les modèles d'apprentissage en profondeur sont construits à l'aide du framework Pytorch.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Polytechnic Institute of ParisPhd researcher, ML applied to Automotive CybersecuritySeptember 2019 - Today (6 years and 9 months)91120 Palaiseau, FranceEmploy supervised learning for cyberattack classfication and detection•Develop self-supervised learning models for anomaly detection (BERT, AE)•Generate and label synthetic in-vehicle network dataset with cyberattacks•Work on sequential data using Transformer, AE, CNN, LSTM, etc.•Teach Cryptography, Physical Layer Security, and Java language
- DTP | Technology SolutionsMachine Learning Trainee - Master's ThesisFebruary 2019 - August 2019 (6 months)Dubai - United Arab EmiratesStudy the probability distributions of Dubai Airport flights delays dataset•Propose ML based models to estimate delay probability distribution•Compare ML with sequential deep learning for flight delay prediction
- Neumann AIMachine Learning TraineeJune 2018 - August 2018 (2 months)Bsharri, LebanonDevelop invoice processing algorithms for data retrieval•Work on CNN based models (U-Net) for image segmentation
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Education
- Master of ScienceLebanese University2019Master of Science in AI and IoT
- Bachelor of EngineeringLebanese University2019Bachelor of Telecommunication Engineering