Ramzi RADDAOUI
Machine Learning Engineer at WizyVision- Claim this Profile
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Arabic Native or bilingual proficiency
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French Professional working proficiency
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English Professional working proficiency
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Spanish Elementary proficiency
Topline Score
Bio
Credentials
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Triplebyte Certified
TriplebyteMar, 2023- Nov, 2024 -
Advanced Learning Algorithms
DeepLearning.AINov, 2022- Nov, 2024 -
Machine Learning Specialization
DeepLearning.AINov, 2022- Nov, 2024 -
Supervised Machine Learning
DeepLearning.AINov, 2022- Nov, 2024 -
Unsupervised Learning, Recommenders, Reinforcement Learning
DeepLearning.AINov, 2022- Nov, 2024 -
Quantum Machine Learning
IBMAug, 2021- Nov, 2024 -
HCIA-AI
HuaweiJul, 2021- Nov, 2024 -
Advanced Computer Vision with TensorFlow
DeepLearning.AIMay, 2021- Nov, 2024 -
Creating Multi Task Models With Keras
CourseraMay, 2021- Nov, 2024 -
Transfer Learning for NLP with TensorFlow Hub
CourseraMay, 2021- Nov, 2024 -
Fundamentals of Deep Learning
NVIDIAJan, 2021- Nov, 2024 -
EF SET English Certificate
EF Standard English Test (EF SET)Oct, 2020- Nov, 2024 -
Getting Started with SAS Programming
CourseraSep, 2020- Nov, 2024 -
Sorytelling and influencing Communicate with impact
CourseraSep, 2020- Nov, 2024
Experience
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WizyVision
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France
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Software Development
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1 - 100 Employee
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Machine Learning Engineer
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Nov 2022 - Present
• Performed data cleaning and preprocessing. • Developed anomaly detection models. • Optimized detection models by 7% using Few-Shot Learning. • Collaborated directly with the client. • Performed data cleaning and preprocessing. • Developed anomaly detection models. • Optimized detection models by 7% using Few-Shot Learning. • Collaborated directly with the client.
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Google Summer of Code
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Software Development
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200 - 300 Employee
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Data Scientist - Embedded machine learning
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Jul 2022 - Sep 2022
• Development of machine learning models. • Optimization and deployment of the models on ESP32 embedded card. • Development of machine learning models. • Optimization and deployment of the models on ESP32 embedded card.
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COSE
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France
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Aviation and Aerospace Component Manufacturing
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1 - 100 Employee
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Data Scientist - R&D - Computer vision
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Apr 2022 - Sep 2022
• Performed data collection (web scraping) and preprocessing of +1M images. • Studied and benchmarked self-supervised algorithms on aerial imagery in a high-performance computing (HPC) environment. • Optimized the detection algorithms by 6% using self-supervised learning. • Performed data collection (web scraping) and preprocessing of +1M images. • Studied and benchmarked self-supervised algorithms on aerial imagery in a high-performance computing (HPC) environment. • Optimized the detection algorithms by 6% using self-supervised learning.
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Comité Général des Assurances -CGA-
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Insurance
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1 - 100 Employee
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Software Engineer | Data Scientist
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Feb 2021 - Apr 2021
• Developed predictive models to detect insurance fraud. • Developed statistical models to improve marketing campaigns. • Developed prediction models to detect churn in case of price rise increasing client retention. • Designed and centralized data in a data warehouse. • Implemented Python scripts for data cleansing and pre-processing, statistical analysis, and report generation. • Designed and implemented a web interface for data visualization and processing. • Developed predictive models to detect insurance fraud. • Developed statistical models to improve marketing campaigns. • Developed prediction models to detect churn in case of price rise increasing client retention. • Designed and centralized data in a data warehouse. • Implemented Python scripts for data cleansing and pre-processing, statistical analysis, and report generation. • Designed and implemented a web interface for data visualization and processing.
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PENTABELL
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France
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Staffing and Recruiting
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100 - 200 Employee
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Software Engineer | Data Scientist
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Aug 2019 - Sep 2019
• Developed a machine learning model for NER (named entity recognition). • Developed an AI model to extract and save resume sections to a dedicated database. • Designed the required database. • Wrote scripts for report generation and customization. • Deployed the application with Flask. • Developed a machine learning model for NER (named entity recognition). • Developed an AI model to extract and save resume sections to a dedicated database. • Designed the required database. • Wrote scripts for report generation and customization. • Deployed the application with Flask.
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ESPRIT
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Tunisia
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Higher Education
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500 - 600 Employee
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Software Engineer
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Jun 2018 - Aug 2018
Developed and documented projects in the form of tutorials. Designed and implemented a 2.5D game using C and SDL. Designed, coded, and simulated an obstacle-detecting robot using C. Designed and developed a desktop application for employee management and task planning using C++ and Qt. Developed and documented projects in the form of tutorials. Designed and implemented a 2.5D game using C and SDL. Designed, coded, and simulated an obstacle-detecting robot using C. Designed and developed a desktop application for employee management and task planning using C++ and Qt.
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Education
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2021 - 2022
Université Gustave Eiffel
Master's degree, Machine Learning -
2017 - 2022
Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT
Master of Engineering - MEng - Certified by CTI, Data Science
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