I am Mohamed Kamal,
a Machine Learning developer,
Data Scientist
& Data Analyst

Proficient in developing, training, and deploying models, particularly with AWS Machine Learning and SageMaker.

Experience with deploying models and handling data pipelines on cloud platforms (AWS, Google Cloud).

Worked on projects like Automatic Question Generation Model (AQGM) using LLaMA2.

Skilled in data cleaning, processing, visualization, and deriving insights from datasets.
Tools include:
Python (Pandas, NumPy, Matplotlib, Seaborn)
SQL for database management and querying
Tableau for data visualization and dashboard creation
Excel for statistical analysis and data manipulation

Expertise in building predictive models, performing statistical analysis, and creating algorithms to extract insights from large datasets.
Tools include:
Python (scikit-learn , TensorFlow , Keras)
Jupyter Notebooks for data science workflows

After completing the AWS Machine Learning Engineer diploma, I gained the ability to utilize AWS technologies for developing, deploying, and optimizing AI and machine learning systems.
I developed strong skills in cloud foundations, data engineering, and machine learning, with hands-on experience in natural language processing and MLOps tools like MLflow and Hugging Face.
I can now build AI models, automate ML pipelines, and deploy scalable ML solutions, demonstrated through a capstone project that reflects my practical knowledge and expertise.

After completing the Data Science Diploma from Orange Digital Center (ODC), I developed a comprehensive understanding of data science, including data wrangling, statistical analysis, and data visualization.
I gained hands-on experience with tools like Python, SQL, and Tableau, allowing me to clean, manipulate, and analyze large datasets.
Additionally, I learned how to apply machine learning algorithms to solve real-world problems and present insights effectively.
The diploma also strengthened my ability to communicate data-driven insights to stakeholders through clear visualizations and reports.

After completing my Bachelor's degree in Computer Science, I gained a solid foundation in software development, algorithms, data structures, and computer systems.
I acquired practical experience in programming languages such as Java, Python, and C#, and developed problem-solving skills through various projects.
My degree also equipped me with a deep understanding of database management, operating systems, and networking, allowing me to design and build efficient software solutions.
This education has provided me with the critical thinking and technical expertise required to excel in the tech industry.