Bachelor's degree - Data Science undergraduate student
Saudi Electronic University
Jeddah, Mecca Region
Diploma - AIML
University of Texas
Texas
Skills
Work under pressure
Basic knowledge of Python: Variables, data structures (lists, dictionaries), conditional statements, loops, and functions
Familiar with NumPy for array creation and manipulation
Worked with Pandas for basic data analysis using Series and dataframes
Used Seaborn and Matplotlib to create basic visualizations (bar, line, scatter plots)
Performed simple Exploratory Data Analysis (EDA), including handling missing data
Completed a 7-month training program in Artificial Intelligence and Machine Learning with Great Learning in collaboration with the University of Texas, gaining foundational and hands-on skills in AI, supervised and unsupervised learning, and data analysis using tools such as Python, Pandas, NumPy, and Scikit-learn
Languages
Arabic
Native
English
Intermediate
Timeline
Bachelor's degree - Data Science undergraduate student