Abdo Beirekdar

– Designed and implemented SQL-based reporting solutions supporting budget and profit planning processes. – Identified inconsistencies through advanced SQL data profiling and anomaly detection – Improved reliability and consistency of financial reporting datasets – Implemented automated data quality controls for reporting validation – Developed Power BI dashboards supporting management decision-making – Contributed to migration from Excel reporting to structured Power BI solutions – Integrated SAP OData APIs to synchronize operational and reporting systems – Documented transformation logic and reporting workflows

– Analyzed and redesigned public-sector web forms to improve usability, accessibility, and compliance. – Identified usability and compliance issues in existing digital forms – Designed improved user journeys and functional mockups – Developed Angular proof-of-concept demonstrating technical feasibility – Facilitated collaboration between business stakeholders and technical teams – Improved alignment between operational needs and technical implementation

– Reverse-engineered and modernized a legacy business application. – Recovered undocumented business logic and database structures – Redesigned and rebuilt the application using MS Access and SQL Server – Performed data migration and consistency validation – Produced functional and technical documentation – Delivered end-user training and post-deployment support – Improved maintainability and usability of the solution

– Redesigned reporting ETL processes and optimized reporting reliability. – Redesigned SQL transformations for sales and forecast reporting – Improved consistency across multiple reporting sources – Reduced report generation time from approximately 2 hours to 5 minutes – Improved reliability and maintainability of reporting pipelines – Documented transformation rules and reporting logic

– Taught Python programming, database design, and Java development – Supervised practical programming and database labs – Supervised final-year student projects

– Managed clinical trial data validation and reporting processes in regulated environments. – Implemented validation workflows aligned with ISO27001 requirements – Automated reporting generation using XML/XSD specifications – Built KPI dashboards for clinical trial monitoring – Performed root cause analysis on critical data anomalies – Integrated laboratory systems using Python scripts – Improved data quality and reporting automation – Collaborated with multidisciplinary stakeholders in regulated environments

– Developed international data collection systems for disaster monitoring initiatives. – Designed database-driven collection platforms – Implemented validation rules ensuring data integrity – Improved consistency and quality of collected datasets