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Younes M.
@MtYounes
4,9
20
5,0
5,0
96%
Discover coding art
$30 USD / tunti
・
Morocco (8:26 ap.)
・
Liittyi maaliskuuta 19, 2022
$30 USD / tunti
・
I am a dedicated and innovative Data Science Engineer at INSEA, with a strong foundation in AI, Machine Learning, and Data Analysis. Driven by a passion for unlocking the potential of data to solve complex problems, I am committed to delivering quality and impactful solutions in my projects. Here are some key aspects of my background:
Academic Excellence: Studying at INSEA with a focus on AI and Data Science.
Certifications: Completed courses in AI and Data Science from Coursera and FreeCodeCamp.
Freelancing Experience: Engaged in diverse data science and machine learning projects on Freelancer.com.
Professional Internships: Worked at NEXAGLOBE and the Ministry of Digital Transition, gaining hands-on experience with BERT, LSTM, CNN, and NLP.
Academic Projects: Developed a Neuronal Style Transfer using VGG19 and a personalized movie recommendation system.
Technical Proficiency: Skilled in Python, TensorFlow, Scikit-Learn, and other data science tools.
I look forward to leveraging my skills and experiences to contribute to your data science and AI projects on Freelancer.com.
Ministry of Digital Transition and Administrative Reform
elok., 2022 - syysk., 2022
•
1
As a work experience at the Ministry of Digital Transition and Administrative Reform, I would be involved in the development and implementation of printed and handwritten text recognition technologies. This could involve using machine learning algorithms to analyze and classify different types of text, as well as working on the integration of these technologies into various systems and processes within the ministry.
elok., 2022 - syysk., 2022
•
1
Koulutus
Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
2021 - 2023
•
2 vuotta
engineer
Morocco
2021 - 2023
•
2 vuotta
Pätevyydet
Introduction to Data ScienceIntroduction to Data Science
2020
LinkedIn
The LinkedIn course "Introduction to Data Science" provides a comprehensive overview of data science fundamentals, including data wrangling, visualization, and modeling. The course covers statistical techniques, machine learning algorithms, and data ethics, and offers hands-on practice using Python and its popular data science libraries.
2020
Data Analysis with PythonData Analysis with Python
2021
freeCodeCamp
Neural Networks and Deep Learning" is a certification course that teaches the fundamentals of neural networks and deep learning. It covers topics such as backpropagation, convolutional neural networks, and recurrent neural networks. The course also provides hands-on experience with Python and TensorFlow.
2021
Neural Networks and Deep LearningNeural Networks and Deep Learning
2022
Coursera
The Neural Networks and Deep Learning certificate likely covers a range of topics related to neural networks and deep learning, including the basics of artificial neural networks, convolutional neural networks, recurrent neural networks, and deep learning algorithms. It may also cover topics such as backpropagation, regularization, optimization techniques, and deep learning applications in image and speech recognition, natural language processing, and other areas.