Azza A.

I am a Computer Science student passionate about Data Science and Machine Learning. I specialize in analyzing and processing data using Python to transform raw datasets into meaningful insights that support better decision-making.

I have hands-on experience in data preprocessing techniques such as data cleaning, encoding, normalization, and train-test splitting. I also build and evaluate machine learning models and create clear visualizations to better understand data patterns and trends.

I am committed to delivering accurate, well-organized, and high-quality work. I continuously improve my technical skills and stay updated with modern data science tools and techniques to provide the best solutions for clients.

My core skills include:

Python for Data Analysis

Data Cleaning & Preprocessing

Machine Learning Basics

Pandas & NumPy

Data Visualization (Matplotlib / Seaborn)

Exploratory Data Analysis (EDA)

I look forward to collaborating with clients to turn data into valuable insights and effective solutions.