David Enslev Nyrnberg

Vision & Data Analysis Engineer

Data science | Image analysis | Medical understanding | Personal

Summary

When compared to other industries, the pharma and medical industry sticks out when quality is mentioned. Any process is inspected with extra specific quality requirements, just to answer the question of ‘what is good enough?’

Pharma4ever is utilizing my knowledge in data science, whether it being feature extraction, data visualization, image analysis or machine learning to help their customers implement a solid foundation to answer the question.

Simply – the job requires me to apply W. Edwards Deming’s –

“In God we trust. All others must bring data”

Special Competences

Data science – Data mining for visualization, trends, and descriptive statistics of the data. Utilizing data to link communication of the knowledge domains across fields for feature engineering or gaining insight through machine learning.
Image analysis – Artificial neural networks, image processing, image morphology, image analysis, blob analysis, & filtering.
Medical understanding – Type-1 diabetes patient, clinical day-to-day workflows, & insight to the links between mathematical-biomedical-clinical-patient knowledge.
Technologies
- Python; opencv, mne, scikit, tensorflow and keras
- MATLAB; image processing and signal processing.
- R
Personal – Data driven, sociable, cross team collaboration, communication, and public speaking.

Project Experience

Vision Systems
Providing extensive data driven research to get insight of products for developing a vision system, which can be utilized for standardization and automation of internal production. Supporting of the project have included analysis and project management. Technology: Python data analysis, Microsoft project & OpenCV image processingColoplast – 2021-Current