Ahmed Kasem's Linkedin Analytics

I was born in Kuwait and went to school there up to high school. From Kindergarten to high school, I attended the same school which is Al-Jamil Al-Ahlyia. I am still in touch with all my school friends despite the fact that I went to Egypt after high school and lived there for more than 10 years. After that, I went to Arab Open University and graduated second in my class with a GPA of 3.78. I worked in many places in Egypt and here in Kuwait and met many amazing and wonderful people. I love my job because I get to help people and be my geeky self-trying to solve computer, network, and printer issues. I am always learning new skills and keep upgrading my skillset. I love Data Science and Full stack development. I really enjoyed learning how to clean data, manipulate it, and try to deliver a story from just numbers. Full stack development is an amazing field I really love spending my time trying to create something. I am an energetic, trustworthy, and hard-working IT technical support specialist. Time management, problem prioritizing, and customer focus are my best qualifications in the IT field. As a Full Stack Developer, What I do: 1.Consistently create well-designed, tested code using best practices for website development, including mobile and responsive site design. 2.Create websites and user interfaces, using standard HTML/CSS practices, while incorporating data from back-end databases and services. 3.Create and maintain workflows with teams to provide visibility and ensure workload balance for consistent visual designs. 4.Maintain updated knowledge of new and emerging industry trends and technology. 5.Working knowledge of web applications, programming languages, and web services, such as APIs, CSS, CSS3, cross-browser compatibility, HTML, HTML5, JavaScript, security principles, REST, and web user interface design (UI). As Data Scientist, What I do: 1.Develop and implement machine learning algorithms and models to extract insights from large and complex datasets. 2.Use machine learning and statistical techniques to identify trends and patterns in data. 3.Use real-world consumer data for classification, time series analysis, outlier detection, and more 4.Create visualizations to communicate data insights to stakeholders. 5.Stay up to date with the latest advances in data science and implement new methods and technologies as appropriate. Projects: https://github.com/samkasem?tab=repositories