Merna Sameh

Focused on analyzing patient outcomes and resource utilization through a healthcare analytics project, utilizing SQL Server and Power BI for data management and reporting.

Developed a machine learning model for attrition prediction as part of the graduation project, achieving an 85% accuracy rate through data preprocessing and model tuning.

Developed a machine learning project for spam detection, implementing various models and achieving high classification accuracy. Created detailed reports and visualizations to present findings.

Specialized in AI technologies with hands-on experience in supervised, unsupervised, and deep learning. Developed expertise in classification algorithms and contributed to chatbot development using NLP skills.

Collaborated with the Financial Control and Reporting Team to create Power BI dashboards, streamlining data analysis and reporting workflows while gaining insights into financial metrics and processes.

Worked on Natural Language Processing of Arabic text, achieving a 75% accuracy rate in predicting geolocations of Arabic tweets. Collaborated with a team and utilized Python libraries for data processing and machine learning.

Grade: CGPA: 3.45

Pursuing a bachelor's degree in Data Science and Business Analytics, focusing on analytical and technical skills to solve real-life data analytics problems. Developed a strong understanding of machine learning techniques and their applications.