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Portrait picture Mostafa

Md. Mostafa Kamal (M.Sc.)

Doctoral Candidate and Research Assistant
ORCID: 0000-0002-5506-4875

Biography

Md. Mostafa Kamal holds a degree in Computer Science and Engineering from Khulna University of Engineering & Technology and a Master’s in Information Technology from the University of Dhaka. With over a decade of experience in the IT industry, he has worked with various multinational organizations. His primary focus is on analyzing complex data to deliver insightful analytics. For the past six years, he has specialized as a Data Analysis and Visualization expert for several European companies, where he has pioneered the implementation of real-time dashboards for application data. His contributions have enabled management to make informed decisions with high accuracy, successfully preventing significant disruptions in production environments on numerous occasions. Since January 2022, he has been employed at MeDIC as a Data Analysis and Visualization Expert and is also a Research Assistant and PhD candidate at the Institute for Biomedical Informatics, University of Cologne. On a personal level, he is detail-oriented, organized, and meticulous in his work. With a talent for creating clear and engaging visualizations, he also possesses strong communication skills. While he is adept at analyzing data independently, he thrives in a collaborative environment alongside a motivated team of talented individuals.

Contact

Academic Background

Areas of Expertise

  • PhD Researcher
    Institute for Biomedical Informatics Cologne
  • Biomedical Data Scientist
    Medical Data Integration Center Cologne

Publications from Md. Mostafa Kamal

Real-Time Visualization and Analysis Architecture for Data Integration Processes at Cologne University Hospital's Medical Data Integration Center

Md Mostafa Kamal, Ekaterina Kutafina, Oya Beyan

This case study discusses the effectiveness of implementing a real-time automated monitoring architecture using the ELK Stack (Elasticsearch, Logstash and Kibana) to ensure data ingestion quality within the Medical Data Integration Center (MeDIC) at the University Hospital Cologne. By streamlining the ETL (Extract, Transform, and Load) log analysis process, this system minimizes the need for manual effort and brings increased efficiency and precision in analyzing data quality issues in real-time, detecting errors and potential problems, including the ability to uncover new errors. Over a six-month period, the implemented dashboard was able to process the ingestion logs of millions of files to provide valuable insights for the stakeholders in the decision-making process.