Jamilah Asiri

• ︎ Enhance data quality and efficiency by reducing reliance on manual data entry across multiple sources, improving
reporting accuracy while reducing time and effort .
• ︎ Support engineering teams in identifying network weaknesses and providing unified insights that help reduce losses
and improve operational efficiency .
• ︎ Design and develop interactive dashboards to manage operations and service contracts for 20+ employees,
Improving coordination between field teams and enhancing performance tracking .
• ︎ Collaborate with technical teams to optimize operational processes and reduce non-revenue water losses while
accelerating decision-making processes .
• ︎ Deliver professional training sessions on Power BI and Excel to enhance analytical capabilities across teams .
• ︎ Implement interactive dashboards using Power BI, enabling executives and field engineers to monitor key
performance indicators (KPIs) .
• ︎ Build and maintain a centralized database aligned with advanced data governance standards to ensure data
reliability and accessibility .

• ︎ Collected, cleaned, and organized large datasets .
• ︎ Managed and analyzed customer databases (10K+ customers) using advanced SQL tools to meet business
requirements .
• ︎ Developed interactive analytical solutions using Python and Excel dashboards to integrate and visualize large
datasets dynamically for decision support .

• ︎ Developed an integrated system for water demand forecasting using historical data and advanced statistical models,
improving planning accuracy and resource allocation .
• ︎ Strengthened data governance by unifying KPIs across multiple regions and redesigning database architecture
according to best practices .
• ︎ Re-engineered daily data extraction and processing workflows and developed dynamically updated dashboards,
accelerating reporting, empowering analysts, and enabling proactive decision-making .

• ︎ Ensured accurate employee data entry by applying best practices, reducing system errors and improving overall
data quality .
• ︎ Analyzed call logs and IT ticket patterns to identify recurring issues and recommended targeted system
improvements .