DATA ANALYST
ASCEND
Total years of experience :0 years, 5 Months
• Working with to Big Client "Ministry of Health in Saudia Arabia" and "NUPCO"
• Collaborate with clients and internal teams to define project objectives, KPIs, and data science requirements.
• Responsible for analyzing supply chain data and key performance indicators (KPIs) to identify trends, anomalies, and areas for improvement.
• Deliver value to the client by building analytical reports that allow business stakeholders to easily interpret data.
• Helping with data warehousing, transfer, and integration to maintain operational Power BI dashboards for NUPCO and MOH entities.
• Developed Power BI reports and dashboards from multiple data sources and published them on Power BI Service.
• Implemented row-level security in Power BI workspaces depending on the type of access required.
• ETL (Extract, Transform, Load) Pipelines: Designed, implemented, and automated ETL pipelines to extract, clean, and transform raw data for analysis, ensuring data quality and accuracy.
• Prepared regular and ad-hoc reports, including dashboards and scorecards, to communicate healthcare.
• Evaluated and enhanced data analysis processes, tools, and techniques to ensure accuracy, efficiency, and relevance over time.
• Defined and tracked key performance indicators in collaboration with NUPCO and MOH.
• Work on SQL queries, stored procedures, views, based on the requirements.
• developing machine learning models for Stock Prediction For "NUPCO" using Python libraries like Scikit-learn or TensorFlow for tasks such as classification, regression, and clustering.
• Develop a comprehensive data pipeline leveraging Excel, Python, SQL, and Power BI.
• Using Qlik Sense Built Command Center for ED Optimization for MOH hospitals KSMC.