Muhammad Hamza Sajjad

• Performed data cleaning and preprocessing using Excel, pivot tables and SQL, and created interactive dashboards in Power BI and Tableau, making reports for stackholders improving decision-making efficiency by 25%. • Implemented data validation processes in Excel and Power BI, improving data accuracy by 25% and ensuring reliable decision-making across departments. • Optimized data pipelines using Python, Pandas and NumPy, and developed ML models with Scikit-learn , boosting prediction accuracy by 20%.

• Developed a .NET-based financial management system using C#, .NET Framework MVC, and SQL Server, integrating real-time analytics and reporting features with Crystal Reports, enabling data-driven decision-making and improving client productivity by 20%. • Optimized SQL Server database queries. • Collaborated within agile, cross-functional teams using JIRA and Confluence to design, develop, and deploy high-quality software solutions, demonstrating strong teamwork and communication skills