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Maximilian DostmannMD

Maximilian Dostmann

Image Analysis Specialist

350 €/Tag
Barcelona, ES
3-7 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Maximilian

Python Developer | Web Scraping & Image Analysis

I build robust Python back-ends to automate data extraction and image analysis, turning complex sources into structured data.

• Web Scraping: Using Playwright and BeautifulSoup, I develop custom scrapers that navigate JavaScript, login walls, and complex sites to extract clean, organized data—like automating the collection of 12 key parameters from 700+ EU project reports

• Image Analysis: With OpenCV, ImageJ, and AI models like StarDist, I create solutions for quantitative analysis—from detecting and measuring specific objects (e.g., chloroplasts in 3D imagery) to calculating metrics like leaf coverage across large datasets

I deliver tools that integrate into workflows, save you time and reduce manual error. Let’s discuss how I can help with your next data or image analysis project.


  • Deutsch

    Muttersprachlich oder zweisprachig

  • Englisch

    Muttersprachlich oder zweisprachig

  • Spanisch

    Verhandlungssicher

  • Katalanisch

    Verhandlungssicher

Vor Ort möglich
Barcelona (bis zu 50 km)

Projekt- und Berufserfahrung

  • Autonomous University of Barcelona
    Webscraping Specialist
    FORSCHUNG
    März 2024 - Heute (2 Jahre und 3 Monate)
    Barcelona, Spanien
    Development a script to extract both quantitative and qualitative data from over 700 EU agricultural project reports, which served as the base for policy recommendations. My tool located and pulled quantitative parameters (like location, duration, and participants) based on unique webpage characteristics, structuring the output into a CSV file. It also collected, classified, and converted relevant text passages into an open document format for further qualitative analysis.
    BeautifulSoup Webscraping
  • Max-Planck-Institut for Interdisciplinary Natural Sciences
    Image Analysis Instructor
    FORSCHUNG
    Mai 2023 - Juni 2023 (2 Monate)
    Göttingen, Deutschland
    Planning a two-day workshop on automating counting tasks in biomedical imaging for neuroscientists. I taught machine learning and thresholding based methods for automated object segmentation to PhD students, professors and other researchers. They mainly required automated pipelines to recognize nerve cells from microscopy images and extract parameters from them.
    Image segmentation Image Thresholding Machine learning Convolutional Neural Networks Teaching
  • Wageningen University and Research
    Image Analysis Specialist
    FORSCHUNG
    Januar 2022 - Oktober 2022 (10 Monate)
    Wageningen, Niederlande
    Creation of a machine learning algorithm based on the convolutional neural network Stardist to recognize and analyze chloroplasts in 3D confocal microscopy images. It involved selection and processing of a training data set, integrating and adapting the machine learning algorithm into a workflow as well as image pre- and post-processing using ImageJ and OpenCV.
    OpenCV ImageJ Stardist Convolutional Neural Networks Machine learning

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Ausbildung und Abschlüsse

  • B.Sc. Agricultural Sciences
    Georg-August University Göttingen
    2023
  • M. Sc. Sustainability Studies
    Autonomous University of Barcelona
    2024

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