● Lead the full-cycle implementation and continuous optimization of SAS Intelligent Decisioning solutions, ensuring a robust framework for the effective management, monitoring, and tracking of transactions within ZATCA.● Engage closely with key stakeholders to grasp nuanced business requirements, facilitating the design and implementation of precisely tailored decision strategies using SAS Intelligent Decisioning.● Configure and meticulously maintain the rule engine within SAS Intelligent Decisioning, guaranteeing strict alignment with both regulatory requirements and overarching business objectives.● Institute and uphold robust monitoring processes to systematically track the performance and efficacy of decision strategies. Swiftly address anomalies and proactively identify optimization opportunities to elevate system performance.● Execute the seamless integration of SAS Intelligent Decisioning with existing systems and databases, fostering a cohesive and efficient workflow for transaction management within ZATCA.● Define and maintain a set of Key Performance Indicators (KPIs) for decision strategies. Conduct regular assessments to ensure continuous optimization, efficiency, and alignment with organizational objectives.

● Implementing Regulatory Compliance Solutions: Specializing in the deployment and management of compliance solutions, particularly focused on SAS Anti-Money Laundering (SAS AML) to ensure adherence to industry regulations and enhance financial security measures.● Crafting Multiple ETL Processes: Proficient in designing and implementing Extract, Transform, Load (ETL) processes using SAS Data Integration (SAS DI) and SAS Enterprise Guide. This involves creating robust data workflows for seamless and accurate data transfer, integration, and transformation.● Generating Comprehensive Reports: Demonstrating expertise in report generation using SAS Visual Analytics (SAS VA) and SAS Enterprise Guide. Capable of developing diverse reports that offer valuable insights and aid decision-making processes by presenting data in a visually compelling and understandable format.

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● Developing and implementing an advanced AML solution to detect money laundering activities within bank transactions. By leveraging my expertise in data analysis and SAS programming, I significantly enhanced the bank's ability to identify and prevent financial crimes, ensuring regulatory compliance and safeguarding the bank's reputation.● Developing and setting up Extract, Transform, Load (ETL) jobs to smoothly and accurately transfer data from various sources to the desired destination. This streamlined data integration processes, resulting in improved data quality, reduced processing time, and increased operational efficiency.● To empower key decision-makers, developing and implementing a comprehensive reporting system using SAS Visual Analytics. This system generated visually compelling and insightful reports, enabling stakeholders to make informed decisions based on accurate data. As a result, the bank experienced improved decision-making capabilities, enhanced risk management, and increased operational performance.

● Manage and maintain programming and robotics labs, ensuring a conducive learning environment with up-to-date equipment and resources.● Facilitate dynamic and interactive learning experiences for students, utilizing effective teaching methodologies and hands-on activities to enhance understanding of programming and robotics concepts.● Conduct regular assessments to gauge students' progress, identify areas for improvement, and tailor instructional approaches to meet individual learning needs.

● Actively engage in the software testing training program, demonstrating a commitment to learning and acquiring practical skills in software quality assurance.● Execute test cases and scenarios under the guidance of senior testers to ensure the thorough validation of software functionality.● Identify and report software defects, providing detailed and clear documentation to facilitate efficient debugging and resolution by the development team.