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Eduard Cordoba

@eduardcordoba

I’m passionate about working in healthcare environments, improving clinical workflows through quality-driven insights, and analyzing relevant data.

Colombia

Message

What I'm looking for

I'm looking to transition further into data-focused work where I can analyze data, improve processes, support evidence-based decisions, research in medical environments, and grow through collaboration with multidisciplinary teams.

At Materialise Colombia, I analyze clinical workflow outputs and medical imaging data to identify quality issues, recurring patterns, inconsistencies, and process improvement opportunities. I do quality control of cardiac segmentation, and clinical online planning workflows while reviewing automated algorithm outputs with Research and Process Engineering teams.

Previously, as a Biomedical Engineering Researcher at Universidad EIA, I designed experimental studies in biomaterials and drug delivery systems, collected quantitative data, and applied exploratory and statistical analysis to turn results into scientific conclusions and recommendations.

I'm building my data analytics career through SQL, Python, Power BI, Excel, statistical analysis, and data visualization. I enjoy translating complex technical findings into clear, actionable insights for multidisciplinary teams.

Experience

Work history, roles, and key accomplishments

Current

Cardiac Conversion Engineer

Current

Materialise

Oct 2024 - Present (1 year 10 months)

Analyze clinical workflow outputs and medical imaging data to identify quality issues and process improvements. Perform quality control and data validation across cardiac segmentation and clinical online planning workflows.

Excel Data Analysis Process Analytics Data Quality Medical Imaging DICOM Quality Control Validation Cardiac Surgery.Cardiac CT Cardiovascular

Researcher Biomedical Engineering

Universidad EIA

Jan 2023 - Oct 2024 (1 year 9 months)

Designed and executed experimental studies involving biomaterials and drug delivery systems, applying quantitative and statistical analysis. Published scientific articles and performed exploratory and statistical analysis of experimental datasets to identify trends and patterns.