I’m Mohamed Medhat, a Data Analyst with a strong Machine Learning background, specialized in transforming raw data into clear insights that support data-driven decision-making. I focus on the full data analysis lifecycle — from collecting and cleaning data to uncovering patterns, building meaningful visualizations, and delivering actionable insights that align with business objectives. My core expertise includes: Data Analysis & Insights Data cleaning, preprocessing, and validation Exploratory Data Analysis (EDA) to identify trends and patterns Feature engineering and statistical analysis Turning complex datasets into clear, decision-ready insights Visualization & Reporting Interactive dashboards and reports using Power BI Translating numbers into stories stakeholders can understand Machine Learning Support Applying regression, classification, and clustering to enhance analysis Using ML models to support forecasting and data-driven strategies Technical Skills Python (Pandas, NumPy, Scikit-learn) SQL for data extraction and analysis Power BI for visualization and reporting Beyond technical skills, I bring strong communication and leadership abilities. As Secretary of the IEEE Beni-Suef Student Branch and former Vice Head of the AI and HR Committees, I’ve worked closely with diverse teams, managed projects, and ensured timely, high-quality delivery. 📊 If you’re looking for a Data Analyst who understands both the business side and the power of machine learning, I’m ready to help turn your data into impact.