Mohamed Salih

• Advised clients using Excel, Power BI, and Tableau.
• Cleaned, modeled, and analyzed datasets to reveal content trends.
• Analyzed enrollment trends, performance, and clients feedback to support decision-making.
• Ensured data accuracy, consistency, and completeness across multiple platforms.
• Provided data insights to support trainers and marketing teams.
• Prepared presentations and videos to communicate insights to clients.
• Automated repetitive tasks using Python scripts or Excel formulas to reduce manual work
• Used tools like Pandas, SQL, Power Query for efficient data processing.
• Coordinated with teams to resolve data gaps or reporting issues.

Developed and maintained Python-based applications as part oftraining and live practice projects
Worked on core Python concepts including OOP, data structures, and exception handling.
Built backend functionality and performed CRUD operations using Python
Assisted in developing small web modules and API integrations
Debugged code, optimized logic, and followed coding best practices
Collaborated with trainers and peers on project-based learningtasks

Built interactive dashboards in Power BI and Tableau for data visualization and insights.
Performed data cleaning, preprocessing, and exploratory analysisfor analytics projects.
Supported predictive modeling and trend analysis initiatives using structured datasets.
Documented workflows and collaborated with teams on data-driven solutions.

• Designed and developed interactive dashboards and visualizations using Power BI and Tableau.
• Conducted data cleaning and preprocessing to ensure data quality for analysis.
• Developed and deployed machine learning models for predictive analytics and trend forecasting.
• Performed data analysis to uncover patterns and generate actionable insights.
• Utilized Excel for advanced data manipulation, reporting, and analysis.
• Created effective data visualizations to present findings to stakeholders clearly and concisely.
• Documented project workflow, datasets, model steps, and results.
• Collaborated with cross-functional teams to support data-driven projects and enhance analytical capabilities.