π Gaza, Palestine π΅πΈ
- π Computer Science Graduate
- π©βπ« Teaching Assistant β Data Structures & Algorithms & Design Patterns
- π Passionate about Data Science, Machine Learning, and Data Analysis
- π§ Strong interest in problem solving, algorithms, and intelligent systems
- π» Backend engineering background with Laravel & Node.js
I enjoy working with data to uncover insights, solve real-world problems, and build intelligent solutions using analytical and machine learning approaches.
My experience includes data preprocessing, exploratory data analysis (EDA), feature engineering, data visualization, model evaluation, and machine learning workflows using Python and its data science ecosystem.
Through teaching and software engineering, I developed strong analytical thinking, structured problem solving, and maintainable coding practices that now support my growth in Data Science and Machine Learning.
- π€ Building practical skills in Machine Learning & Data Science
- π Strengthening EDA, Feature Engineering, and Model Evaluation
- π Working with Python data science libraries and ML workflows
- π©βπ« Teaching Data Structures & Algorithms and Design Patterns
- π§ Improving problem-solving and analytical thinking through hands-on projects
- Teaching core data structures and algorithmic problem solving using Java
- Explaining OOP principles and software design concepts
- Guiding students through practical coding exercises and implementation tasks
- Preparing structured labs, activities, and technical examples
- Helping students strengthen analytical thinking and coding skills
- Machine Learning
- Data Analysis & Visualization
- Predictive Modeling
- Feature Engineering
- Exploratory Data Analysis (EDA)
- Intelligent Systems
Machine Learning pipeline for predicting customer subscription success in bank marketing campaigns using classification models and preprocessing workflows.
- Performed data preprocessing and feature engineering
- Built and evaluated classification models
- Worked with imbalanced data and threshold tuning
- Focused on recall and model evaluation metrics
- Applied full ML workflow from EDA to prediction
Python β’ Pandas β’ Scikit-Learn β’ Matplotlib β’ Machine Learning
π https://github.com/Maryam-Skaik/bank-marketing-subscription-prediction
RESTful APIs β’ MVC Architecture β’ JWT Authentication β’ Databases β’ Automation β’ Clean Architecture
Laravel-based automation system for humanitarian aid registration.
- Automates multi-platform aid submissions
- Reduces manual work by ~80%
- Designed for unstable internet conditions
Laravel β’ PostgreSQL β’ n8n β’ Google Sheets β’ TailwindCSS β’ Render
π https://github.com/Maryam-Skaik/GazaMadadFLow
Laravel + React platform for volunteer and task management.
- Role-based access control
- Task & location assignment
- Modern frontend with React + Vite
Laravel β’ MySQL β’ React β’ TailwindCSS
π https://github.com/Maryam-Skaik/volunteer-coordination-system
Turning data, algorithms, and software into impactful solutions.