Mohammed AlAsiri

MIS Graduate | Data-Driven | Business Solutions | System Optimization | Supply Chain & Procurement Certified

Riyadh, Saudi Arabia

About

I am a motivated Management Information Systems graduate with a passion for data, systems, and business process improvement. My hands-on experience as a Field Researcher at the General Authority for Statistics refined my skills in data collection, validation, and reporting. I have a strong academic foundation supported by a GPA of 4.18/5 and several professional certifications in supply chain and procurement. My education enabled me to analyze business requirements, troubleshoot system issues, and contribute to data-driven decision-making. I thrive in environments where I can bridge the gap between technology and business needs. I have used tools like SQL, Power BI, ERP systems, and Excel to deliver accurate insights and streamline operations. My work is defined by attention to detail, adaptability, and a continuous desire to learn. I bring both technical and analytical skills to any team I join. I am currently seeking opportunities to contribute to data-driven projects, digital transformation, or systems analysis roles.

Experience

  • Supply Chain officer at ABR contracting
    Sep 2025 - Present · 11 mos

    Passionate about optimizing supply chain operations and ensuring seamless flow of materials from suppliers to end-users. Skilled in procurement, inventory control, and logistics coordination, with a focus on cost efficiency and operational excellence.

  • Field Researcher - Freelance Contracts | January, April, November 2024 & May 2025. at General Authority For Statistics
    2024 - 2025 · 1 yr

    - Conducted field visits to assigned areas to collect and verify statistical data. - Entered and validated data using specialized software tools. - Ensured high levels of accuracy and consistency. - Reviewed and confirmed the accuracy of demographic and geographic data on-site. - Created and maintained a comprehensive database for locations with missing or incomplete data. - Reported findings and inconsistencies to supervisors for corrective actions.