- 👋 Hi, I’m @jen4win, but you can also call me Jennifer.
- 👀 I’m interested in upskilling myself in Machine Learning and Image classification. As I have a strong biomedical background I am thrilled to use these skills to enhance health perspectives in prevention or diagnosis.
- 🌱 I’m currently figuring out where my heart beats for in this world of data and in particular the different types of models and their strengths and weaknesses.
- 🤝 I’m looking to collaborate on health care projects. I already worked on image classification in brain tumor segmentation. Have a look at the repo: Brain-Tumor_Segmentation_JEPSis! There you can also find the app for real-time diagnosis upon uploading MRI-scans. But I am also interested in ML projects or time-series related analysis (as for ECG, EEG,...).
- 📫 How to reach me: LinkedIn
- 😄 Pronouns: she / her
Data Enthusiast with a strong biomedical background.
Currently upskilling myself in Data Science, Python and ML to improve health perspectives with data.
- Berlin
- in/winklerj1
Pinned Loading
-
biedun/Brain-Tumor-Segmentation-JEPSis
biedun/Brain-Tumor-Segmentation-JEPSis PublicJupyter Notebook 1
-
-
-
100-days-of-code
100-days-of-code PublicForked from kallaway/100-days-of-code
Upskilling my coding
Jupyter Notebook
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.
