Ali Mohammed

Data Scientist
October 1, 2000

About Candidate

I am interested in the applications of artificial intelligence in the industry. My goal is to gather experiences and skills that enable me to use those tools or artificial intelligence as a tool to achieve values that make the world a better place. I want to combine artificial intelligence, health, education, and industry in a smart way. The way for society to progress and be a better place.

The Children’s Cancer Hospital Egypt 57357

SPONSORED Write as short as one letter in a SMS and send it to the number 57357, in doing so you donate L.E.5 to the Hospital and you contribute to the cure of a child with cancer.

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Location

Education

C
Computer Science and Information Systems 2019
Higher Institute of Computer Science and Information Systems, 6th of October City of Culture and Science

Work & Experience

D
Data Science Intern Oct 2022 - Dec 2022
CodeClause

During this training period, I am working on many important points such as processing and cleaning the data to be ready for analysis and building machine learning algorithms on it, as well as working on building artificial neural networks and modifying their structures.

F
Features Engineering Intern Jul 2022 - Sep 2022
1000 ML

I work as a trainee under the supervision of the great Dr.Hesham Asem, professor of data science and machine learning engineering, in the United Kingdom, in the field of feature engineering and machine learning.

Awards

D
Deep Neural Networks with PyTorch 2022
Explain and apply their knowledge of Deep Neural Networks and related machine learning methods. The earner knows how to use Python libraries such as PyTorch for Deep Learning applications, and can build Deep Neural Networks using PyTorch.
D
Deep Learning Essentials with Keras 2022
Able to describe what a neural network is, what a deep learning model is, and the difference between them. They demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. The earner has an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. In addition, the individual knows how to build deep learning models and networks using the Keras library.
D
Deep Learning with Tensorflow 2022
Explain foundational TensorFlow concepts such as the main functions, operations, and execution pipelines, and how TensorFlow can be used in curve fitting, regression, classification, and minimization of error functions. The earner understands different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks, and Autoencoders, and how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained.
M
Machine Learning with Python 2022
Understanding and application of machine learning (ML) including when to use different ML techniques such as regression, classification, clustering, and recommender systems. The individual has acquired the skills to use different machine learning libraries in Python, mainly Scikit-learn and Scipy, to generate and apply different types of ML algorithms such as decision trees, logistic regression, k-means, KNN, DBSCCAN, SVM, and hierarchical clustering.
G
Google Data Analytics Certificate 2021
Hands-on, practice-based assessments are designed to prepare them for introductory-level roles in Data Analytics. They are competent in tools and platforms including spreadsheets, SQL, Tableau, and R. They know how to prepare, process, analyze, and share data for thoughtful action

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