Welcome to my data science portfolio! My name is Abdullah KASRI, and I'm a data scientist with 2.5 years of experience in the field. Over the years, I've worked at 4 different companies across various industries, honing my skills in data analysis, machine learning, and deep learning.
In this portfolio, you'll find a collection of projects I've worked on, ranging from games built using OOP to machine/deep learning applications. Here are a few highlights:
- Tetris Game - A classic arcade game where the player manipulates falling blocks to create horizontal lines, implemented in Python using Object-Oriented Programming (OOP) principles.
- AI Tic-Tac-Toe - A two-player game where one player plays against a computer AI, implemented in Python using Object-Oriented Programming (OOP) principles.
- Customer Churn Analysis - Predicting the likelihood of a customer defaulting on her/his credit card loan based on their financial and demographic info.
- Customer Segmentation Analysis - Clustering customers with similar purchase behavior and patterns so that to better understand the different types of customers.
Each project includes a detailed README with information on the project's goals, data sources, methodology, and results.
Throughout my career, I've developed a wide range of skills in data science, including:
- Data analysis and visualization
- Machine learning and deep learning
- Python programming and OOP
- Data preprocessing and cleaning
- Statistical analysis
- Model evaluation and optimization
If you have any questions or would like to connect, please feel free to reach out to me at LinkedIn.