Computer Science graduate, developer, and digital experience specialist with a background spanning software development, data, digital products, and web experiences.
I enjoy working at the intersection of technology, user experience, and problem-solving β from building applications and analyzing data to improving large-scale digital platforms.
- π B.Sc. in Computer Science from Princess Nourah bint Abdulrahman University
- π» Background in Software Development & Full-Stack Development
- π Experienced in Digital Products, Websites & Digital Experience
- π Worked with Data Analysis, Machine Learning & Predictive Models
- π€ Interested in Artificial Intelligence and AI-powered digital experiences
- π§ Always curious about how things work β from the user interface all the way down to the code behind it
- π I enjoy building, experimenting, debugging, and turning ideas into actual products
Languages & Core
Web Development
Tools & Technologies
Data & AI
Data Analysis Β· Machine Learning Β· Predictive Modeling Β· Data Visualization Β· AI Applications
Current Focus
Still trying to figure it out.
Data-driven project exploring cardiovascular disease data to identify patterns, relationships, and potential risk indicators.
- Data exploration and preprocessing
- Exploratory Data Analysis
- Data visualization
- Identification of meaningful health-related patterns
Tech Stack: Python Β· Jupyter Notebook Β· Data Analysis Β· Visualization
Machine learning project focused on predicting stroke risk using patient-related data.
- Data cleaning and preprocessing
- Feature analysis
- Predictive modeling
- Model evaluation
Tech Stack: Python Β· Machine Learning Β· Jupyter Notebook
Predictive analytics project exploring New York City taxi trip data and estimating trip duration.
- Large dataset exploration
- Feature engineering
- Data preprocessing
- Predictive modeling
Tech Stack: Python Β· Data Science Β· Machine Learning
A project exploring automated signature verification and pattern recognition.
- Image/data preprocessing
- Feature extraction
- Pattern comparison
- Classification concepts
Tech Stack: Python Β· Machine Learning Β· Pattern Recognition
A collaborative Python project developed during a hackathon, combining technical implementation with rapid problem-solving and product thinking.
Tech Stack: Python
π View Repository
Still learning. Still building. Still trying to figure it out. β¨

