Muhammad Hamza Sajjad

Performed in-depth analysis of large-scale marketing and sales datasets using Excel, pivot tables and SQL, while creating interactive dashboards in Looker Studio and Power BI that enhanced reporting efficiency by 30%. Managed and optimized marketing campaign data via CRITEO, driving a 15% uplift in campaign ROI through data-driven targeting and continuous performance monitoring. Collaborated with an international, cross-functional team following Agile practices, utilizing JIRA, Confluence, Sharepoint.

• 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%.