Curriculum vitae

My CV

Available as a downloadable PDF for academic, research, and professional review.

Personal profile

Hands-on experience in medical and clinical data analysis, data structuring, and prediction and classification modelling. Strong technical background in Python, SQL, and diverse data formats, combined with practical experience in interdisciplinary academic and industrial environments.

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Employment history

  • 2022–present • Research Assistant — Intelligent Systems Group, Kiel University

    Medical and clinical data analysis, structuring, and data-flow management; predictive modelling for process optimisation; classification of diseases, medications, and measurements across research datasets; curation of clinical and biomedical research data; multimodal data-integration pipelines (text, image, tabular, time-series); data quality, consistency, and traceability; support for scientific publications; interdisciplinary collaboration across medicine, informatics, and data science. Completed the KIT2 (TeleNotArzt) project, a real-world collaboration with RWTH Aachen University.

  • 2020–2021 • Data Scientist — R&D Department, Paul Wurth S.A., Luxembourg

    Data collection and validation for industrial projects; predictive modelling and process optimisation using machine learning; data integrity and quality assurance; collaboration with international research and engineering teams; deep learning and statistical inference for process improvement.

Education

  • 2022–present • PhD — Christian-Albrechts-Universität zu Kiel (CAU)

    Intelligent Systems, Department of Computer Science. Research focus: a recommendation system for diagnosis support in emergency medicine, built on AI-supported integration of multimodal clinical data.

  • 2016–2021 • M.Sc. Information Engineering — Fachhochschule Kiel

    Thesis: Usage and optimization of CycleGAN for multivariate time series analysis.

  • 2009–2014 • B.Sc. Electrical & Electronic Engineering — American International University–Bangladesh

    Thesis: American sign language image processing using MATLAB to communicate with the hearing impaired.

Skills

  • Data management: SQL / MySQL, CSV, Excel, data cleaning, quality assurance, LaTeX
  • Programming & tools: Python, R, JavaScript, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, OpenCV, Git, Docker, Jupyter
  • Visualization: Matplotlib, Seaborn, Tableau, Power BI
  • Cloud: Azure, Azure Data Factory

Publications

1 journal article and 4 conference / book-chapter publications (ICAART, Springer LNCS, kassel university press), 2024–2026.

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References

Prof. Dr.-Ing. Sven Tomforde — Department of Intelligent Systems, Kiel University — st@informatik.uni-kiel.de