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Enas MostafaAI and Data science instructor
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Hi, My name is Enas Mostafa I currently teach online data science sessions and here is the way my session goes : before going to each topic I first asks if anyone has knowledge about this topic and hear him/her out till they finish and after I hear all of their thoughts I start to mark what's right and what's wrong then explain the concept with examples and give small assessments through every point and after all is cleared I give assignment including every thing we gone through today as a home work which this assignment is a practical test to examine my student's search skills and I treat my students as my friends and keep in touch with them all the time and check up on them I'm very good at online teaching and my students says I'm a great teacher so I hope I keep it up and make sure I don't let them down so far I taught students from zero knowledge of programming to make their own projects by them selves and developed their search skills and of course I started to build relations with my students from the first session so If you're still reading so far I guess that's it and I wish you a very happy day full of joy
Subjects
Python Beginner-Expert
Machine Learning Beginner-Expert
Data Science Beginner-Expert
Deep Learning Beginner-Expert
AI (Artificial intelligence) Beginner-Expert
Experience
Lead Oracle SQL Developer (Dec, 2024–May, 2025) at Kobra Studio, Remotely
• Oversee the creation of high-quality, engaging content related to SQL concepts, best practices, and database management, ensuring alignment with project goals and team capabilities • Review and edit technical documentation and creative content for grammar, clarity, and consistency, ensuring it meets industry standards and project specifications • Provide guidance and training to team members on SQL best practices and database management principles, fostering a culture of continuous learning and improvement • Manage timelines and deliverables for content production, ensuring that all projects are completed on schedule and within scope
• Designing and implementing machine learning models for various applications, focusing on accuracy, efficiency, and scalability • Collaborating with learners to guide them through the model development process • Collaborating with other educators, industry professionals, and experts in the field to enhance teaching methodologies, share best practices, and create a dynamic learning experience
Oracle SQL Developer (Jun, 2024–Dec, 2024) at Kobra Studio, Remotely
• Develop high-quality and engaging written content, including articles, blogs, tutorials and guides centered around oracle SQL concepts, best practices and database management • Communicate complex SQL concepts and technical information in a clear, concise and understandable manner, making it accessible to readers of varying skill levels • Review and edit content for grammar, clarity and consistency
Online data science instructor (Nov, 2022–May, 2024) at GOMYCODE
• Guiding students through Data Science course to improve their search skills • Teaching everything about Python, Database (SQL, Data Warehouse), Machine learning, Deployment and Deep learning • Making Data science projects every week with students
Scratch and Python Instructor (Jun, 2021–Sep, 2022) at Time Door, Cairo
• Responsible for building excellent coding skills for kids • Content writing • Making fun games
Education
Bachelor (Sep, 2018–May, 2022) from Faculty of Computers and AI Cairo university–scored 2.9
Fee details
£10,000–25,000/month
(US$190.99–477.46/month)
Time, Place
Courses offered
AI
US$1500
Duration: 3 Months
Delivery mode: Online
Group size: Individual
Instruction language:
English,
Arabic
Certificate provided:
No
This course offers a comprehensive introduction to Artificial Intelligence, covering the foundational concepts, techniques, and real-world applications. Learners explore key AI domains such as python, machine learning, neural networks, natural language processing, computer vision, and expert systems.
Through hands-on projects and case studies, students gain practical experience in building intelligent systems using tools like Python, TensorFlow, and scikit-learn. Ethical considerations and the societal impact of AI are also discussed.
By the end of the course, learners will understand how AI algorithms work, how to implement basic models, and how to evaluate their performance, preparing them for advanced study or real-world applications.