Welcome to my GitHub profile!
I'm a Data Scientist with a strong foundation in Computer Systems Engineering, blending analytical thinking with hard work to extract meaningful insights from data and make justified decisions.
- Prediction-of-Student-Success: explores and models a student dataset to better understand factors affecting academic performance and to build predictive models.
- Customers Segmentation: This project performs customer segmentation analysis using clustering techniques on Ulabox (online grocery delivery service) order data from 2017. The goal is to identify distinct customer groups based on their purchasing behavior and product preferences to enable targeted marketing strategies.
- Fraud Detection in Electricity and Gas Consumption: The goal of this project is to build a machine learning model that can detect fraudulent behavior in electricity and gas consumption data. Identifying such cases helps utility companies reduce losses and improve service efficiency.
I’m continuously improving my skills in:
- Advanced Machine Learning & Model Optimization
- Deep Learning fundamentals
- Computer Vision
- Time series
- Tableau
I'm always open to collaborating on interesting projects. If you have an exciting idea or need help with something, feel free to reach out!
- Software Engineering Principles
- Data Science: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn.
- Data Preprocessing & Feature Engineering
- Machine Learning Model Development & Evaluation: Regression & Classification.
- Deep Learning fundamentals: Artificial Neural Networks(ANN),Convolutional Neural Networks(CNNs).
- Times Series -Tableau
- Mobile Applications Development: Dart, Flutter.
- Project Management
- SDLC
- Email: sallyabdalatti@gmail.com
- LinkedIn: sally-abdalatti
- Reading
- Pottery Painting
- Caring for My Birds