Aspiring Data Analyst — Machine Learning Practitioner
Data Analyst Machine Learning Enthusiast with strong experience in Python-based data analysis, data cleaning, EDA, and basic ML models. Proficient in SQL, Excel, and visualization tools, with hands-on experience using Git/GitHub and Jupyter-based workflows to deliver clear, accurate insights.
Expertise in extracting actionable insights from data, performing exploratory data analysis, and creating clear visualizations using various tools and libraries.
Hands-on experience in building and evaluating machine learning models, applying basic deep learning techniques, and data preprocessing for predictive insights.
Proficient in multiple programming languages and development tools essential for efficient data science workflows and project management.
Built a data-driven system to analyze and compare football players across the top 5 European leagues. Performed data cleaning, exploratory data analysis (EDA), and feature engineering to extract meaningful performance indicators.
Impact: Applied machine learning models to identify top-performing players and generate predictive insights.
Expected to complete Bachelor’s degree in Computer Science from Minia University with a GPA of 3.00/4.00.
Began Data Analyst Specialist Trainee role at Digital Egypt Pioneers Initiative (DEPI), analyzing and cleaning datasets using Python and SQL.
Completed a 120+ hour hands-on Machine Learning training program as an intern at National Telecommunication Institute (NTI).
Applied machine learning and basic deep learning techniques in a final end-to-end project during the NTI program.