I’m Mahmoud Islam, a Computer Science student specializing in Data Analysis and Data Science. I dedicate my time daily to learning and applying techniques for collecting, cleaning, analyzing, and modeling data using modern tools and machine learning methods. I work primarily with Python and have strong experience with key data analysis libraries, including: Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn, alongside excellent proficiency in Jupyter Notebook, Google Colab, SQL, and Excel for producing accurate and meaningful insights. Over the past period, I have worked on practical, hands-on projects that helped me strengthen my analysis and modeling skills, such as: Machine Learning Analysis of Player Statistics – Data cleaning & preprocessing – Exploratory Data Analysis (EDA) and trend discovery – Applying ML models for prediction and comparison – Visualizing results in a clear, professional format Various Python-based data analysis tasks, including handling large datasets, creating insightful visualizations, and generating analytical reports. I also have solid experience with important tools for data professionals, including: Git/GitHub (version control) Excel (advanced formulas, pivot tables) SQL (data querying & extraction) Reading technical documentation and implementing advanced data workflows Additionally, I’m improving valuable freelancing skills such as communication, time estimation, and negotiation, ensuring a smooth and professional experience for clients. Services I Provide: Data Analysis & Reporting Data Cleaning & Preprocessing Basic Machine Learning Models Insights & Business Reports Professional Data Visualizations Python Scripts for Data Automation Excel/CSV Data Analysis SQL-based data extraction & analysis My goal is to deliver organized, accurate, and high‑quality work with clearly explained results — on time and tailored to the client’s needs.