Hi, I'm
Shamayel Alabsari
AI & Data Analysis Specialist
Computer Science student specializing in Artificial Intelligence and Data Analysis, with hands-on experience in machine learning, computer vision, and predictive modeling.
About Me
I am a highly motivated Computer Science student with a strong passion for Artificial Intelligence and Data Analysis. I specialize in building data-driven solutions and optimizing workflows through automation.
My expertise spans across Machine Learning, Deep Learning, and Computer Vision, utilizing tools like Python, TensorFlow, and Scikit-learn.
Programming & Tools
Python, Notion, Technical Documentation, Performance Monitoring
Machine Learning & AI
Supervised/Unsupervised Learning, Deep Learning, Computer Vision, Model Evaluation
Data Science
EDA, Data Preprocessing, Statistical Analysis, Feature Engineering, Pandas, NumPy
Experience & Education
IBM Ambassador
AI Horizons Initiative Lead
Dec 2025 - CurrentLeading a global AI initiative across 20+ countries, graduating over 3,000 participants. Delivering technical workshops on Machine Learning and emerging IBM technologies.
AI Pioneers
Head of Performance & Compliance Department
Nov 2025 - CurrentDesigned automated workflows that improved team efficiency and reduced manual tasks. Monitored performance metrics and ensured compliance across global team operations.
King Faisal University
Diploma in Computer Science - Data Analysis
Expected Jan 2027Relevant courses: Applied Machine Learning, Artificial Intelligence, Programming for Data Science, Data Analysis and Representation.
Technical Projects
Sleep Quality Data Analysis
Analyzed a sleep health and lifestyle dataset to uncover patterns affecting sleep quality and detect possible sleep disorders. The process included data cleaning, EDA, and predictive modeling preparation.
View Code on Google Colab
Social Media Addiction Predictor
Built a Random Forest classifier during the Nywtk AI Bootcamp to predict addiction levels (Low, Medium, High) in 705 students. Discovered strong correlations between usage hours, sleep patterns, and mental health.
View Code on Google Colab
AI Image Detector
Developed a computer vision model using deep learning (EfficientNetB0) to classify images as real or AI-generated. Overcame data imbalance challenges to achieve 74% detection accuracy.
View Code on Google ColabLet's Connect
I'm currently looking for new opportunities and collaborations. Whether you have a question or just want to say hi, I'll try my best to get back to you!