Beshr Alnirabieh-Data & Business Analyst | Business Intelligence | AI & Automation
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Experience
System Administrator – HealthCare IT & Data Infrastructure
Cellitinnen Hospital Association
- Integration of medical modalities (including ultrasound) into the existing IT infrastructure (DICOM, HL7) – put into operation within the planned timeframe.
- Administration and optimization of PACS systems for efficient archiving and distribution of radiology image data across multiple locations.
- Ensuring consistent data quality and seamless interoperability in data exchange between HIS, RIS, and PACS.
- Close collaboration with medical staff to analyze and digitally optimize clinical workflows.
- Requirements management and test coordination when implementing clinical requirements in complex IT structures.
Data & Business Intelligence Analyst
Cologne Bonn Airport
- Developed and maintained 10+ interactive Power BI dashboards to visualize business-critical KPIs for around 80 decision-makers from management and operations.
- Built automated ETL pipelines with Python (Pandas, NumPy); reduced manual data preparation time by around 40%.
- Performed statistical trend and root-cause analyses (passenger volume, delay patterns) to identify optimization potential in flight operations.
- Created and presented management reports for cross-functional stakeholders from IT, operations, and executive management.
- Ensured data quality through systematic data cleaning and validation of raw data from 5+ operational systems.
Practical Phase – AI in Medicine
University of Applied Sciences Koblenz
- Designed and developed a predictive machine learning model for early detection of diabetes based on structured patient data.
- Feature engineering, data cleaning, and preparation with Python (Pandas, NumPy, Scikit-learn).
- Trained and validated classification models (Random Forest, SVM, Logistic Regression); evaluation using accuracy, precision, recall, and F1 score.
- Visualized medical data patterns to communicate results to non-specialist stakeholders.
Further Training – AI, Automation & Cloud
Self-Study & Personal Projects
- Deepened knowledge in AI-supported automation (Agentic AI, Claude Code, n8n) to automate data preparation, reporting, and recurring analysis processes – saving time and reducing errors.
- Self-study of cloud platforms Google Cloud, Microsoft Azure, and AWS with a focus on data processing and analytics services.
- Active application phase with a clear focus on Data & Business Analyst as well as Business Intelligence.
Industry Experience
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Experienced in Transportation and Healthcare.
Business Area Experience
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Experienced in Information Technology, Operations, Business Intelligence, Strategy, Project Management, and Quality Assurance.
Summary
Strong analytical Data & Business Analyst (B.Sc.) with solid experience in Business Intelligence, data analysis, and data-driven process optimization. Specialized in Power BI dashboards, ETL pipelines, and automating reporting workflows with Python and SQL. Additional strengths in using AI and automation (Agentic AI, Claude Code, n8n) to improve efficiency, as well as a solid understanding of medical IT (PACS, HIS, RIS, HL7, DICOM). I reliably turn complex business requirements into scalable, data-based solutions.
Skills
- Data Analysis & Business Intelligence: Power Bi, Tableau, Qlikview, Sql, Python (Pandas, Numpy, Scikit-Learn), Excel / Power Query, Statistical Analysis, Data Visualization, Kpi & Management Reporting, Dashboard Development
- Data Management & Automation: Etl Pipelines, Data Cleaning, Data Quality Assurance, Data Modeling, N8n Workflows, Api Integration, Reporting Automation
- Ai & Machine Learning: Machine Learning, Classification Models, Predictive Analytics, Agentic Ai, Llm / Claude Code, Prompt Engineering
- Cloud & Data Platforms: Google Cloud, Microsoft Azure, Aws, Big Data
- Healthcare It: Dicom, Hl7, Pacs, His / Ris, Orbis, Medical Device Integration, Interoperability
- Programming & Methods: Python, Sql, C++, Matlab, Git, Agile / Scrum, Ms Office
- Personal Strengths: Analytical And Solution-Oriented Thinking, Stakeholder Communication, Requirements Management, Presentation, Intercultural Collaboration
Languages
Education
University of Applied Sciences Koblenz, RheinAhrCampus
Bachelor of Science · Medical Engineering · Remagen, Germany
Statistics
Experience
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