Mohamed Moaz

• Built regression models for predicting car prices in auctions.
• Developed a license plate recognition model using OpenCV, OCR, and object detection.
• Created a high-engagement Quran dataset on Kaggle.

• Enhanced user targeting by 25% with a traffic tool for the marketing team.
• Implemented 15+ integrations with telecom operators and aggregators across various regions.
• Created many services that integrate Google Campaign 360, Google Sheets, Tiktok Campaigns to automate marketing team work.
• Developed an automation tool for document backup, reducing the finance team’s workload by 2 hours per day.

• Lead a team to implement HR system that have been used in more than 29 countries for local and global clients in different industries.
• Upgraded an old asp.net 4.2 to .net core for Mobil Petroleum and successfully identified system bottlenecks and boosted system responsive time by 300%.
• Orchestrated task delegation among team members and conducted structured peer programming and code reviews for junior staff; these efforts led to a 30% reduction in bug fixes post-launch and accelerated project timelines by 20%.
• Planned and architected Cop27 project for climate change competition that is used by 105 nationalities and in UN Global Event.

• Developed, coordinated and successfully delivered 5 ERP modules from conception to delivery.
• Created an automation tool to automate repeated tasks which increased development speed by more than 200%.
• Ensured tight cooperation with other engineers, designers and analysts through active listening and systematic communication.

• Obtained and elicited software requirements from customer and presented final product to the managers;
• Developed and designed various robust solutions for more than 3 different industries that helped them to boost production and increase products quality.
• Planned and delivered a tool to automate essential development tasks which doubled team productivity and cut the development time by 50%.

Completed an in-depth program in computer science that covered advanced topics such as data science, algorithms, machine learning, and software engineering. Developed a strong foundation in programming, statistical analysis, and data-driven decision-making. Gained practical experience in data processing, predictive modeling, and using cutting-edge tools and techniques to address complex computational problems. The program emphasized analytical problem-solving and teamwork, preparing me for advanced roles in data science and AI.

Earned a Bachelor’s degree focused on electronics and computer network engineering, providing a comprehensive understanding of both hardware and software aspects of technology. The curriculum included extensive training in programming, network design, digital systems, and embedded systems. Gained hands-on experience in lab environments, working on projects that involved system design, troubleshooting, and optimization. This program equipped me with a solid foundation in engineering principles, critical thinking, and technical skills, forming the basis for my career in technology and software development.

Gained hands-on skills in data analysis, machine learning, and data visualization, with a focus on Python and practical applications in data science.

Developed foundational knowledge in artificial intelligence and machine learning concepts, along with practical skills for deploying AI solutions on Microsoft Azure.

Mastered building and deploying machine learning models with TensorFlow, covering neural networks, deep learning, and model optimization techniques.

Learned the core principles of Scrum and agile project management, including collaboration, sprint planning, and iterative development.

Acquired skills in developing, deploying, and managing web applications using Microsoft technologies, with a focus on ASP.NET and SQL Server.