Sara Sabir is a recent Applied BioScience graduate from the National University of Science and Technology (NUST) with internship experience in supply chain, quality assurance, data analysis, and Power BI. She has worked …
Sara Sabir is a recent Applied BioScience graduate from the National University of Science and Technology (NUST) with internship experience in supply chain, quality assurance, data analysis, and Power BI. She has worked with ISO standards, procurement processes, reporting, and visualizations, and holds certifications in ITIL v4 and Lean Six Sigma Yellow Belt.
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Supported with the procurement processes and vendor relationships, ensuring timely delivery and quality compliance.
Supported in conducting risk assessments in line with ISO 14971 to ensure the safety and effectiveness of medical devices.
Assisted in monitoring all production and quality control processes to identify areas of quality deficiencies, from the entry of raw materials and packing materials to the exit of finished products in good condition.
Worked with the procurement department to ensure the quality of products such as lab kits, raw materials, and packing materials.
Worked closely with management, quality control (QC), and production managers to develop and enhance Standard Operating Procedures (SOPs) for various activities, ensuring compliance with ISO 13485 requirements.
Supported efforts to ensure that all products were manufactured and packaged in full compliance with Drug Regulatory Authority of Pakistan (DRAP) regulations, current Good Manufacturing Practices (cGMP), Good Laboratory Practice (GLP), and established SOPs.
Collected and processed data from various sources to ensure accuracy and reliability for reporting purposes.
Integrated IT Service Management (ITSM) tools with Power BI to create comprehensive and real-time visualizations of network performance and incidents.
Created detailed reports and visualizations to support Network Operations Center (NOC) management.
Developed metrics and key performance indicators (KPIs) to track network health and incident resolution times.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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