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Kan være tilgængelig
(Opdateret 2022-08-15)senior data scientist
Allerød, Danmark
Modersmål English
- Spark
- python
- +10 year machine learning
Kvalifikationer (14)
Machine Learning
Python
Elasticsearch
PANDAS
Forretningsforståelse
NEUROSCIENCE
SIGNAL PROCESSING
DATA SCIENCE
BIOMEDICAL
NLP
CONTROL ALGORITHMS
Natural Language Processing
Project Management
SVG
Resumé
• Andreas has +10 years experience working with machine learning and data science in both academia and the industry. He has:
• A Master's degree in biomedical engineering with focus on signal processing, AI & ML.
• A PhD in machine learning and cognitive neuroscience, and experience working as a post doc.
• 3 years experience working in a project-oriented AI team in a major hearing aid company.
Professionel erfaring
2022-08 - Nuværende
• Webtool for insights into patient populations - Lundbeck: Andreas integrated with the existing development team and supported them with competences and experience within backend development and cloud infrastructure.
• Andreas helped scope and implement two new features, as well as help with project management to ensure that targets were met within deadlines.
• Search engine - Novo Nordisk: Andreas helped develope a new NLP based search engine for statistical outputs in clinical trial. The solution was build and hosted on AWS with a techstack including: Various AWS services, Python, FastAPI, ElasticSearch and Vue.js.
• Andreas created the framework for collecting user data, and used ML to tune the search engine to make custom search recommendations based on usage patterns.
Azure Data Engineer image2.svg
• Andreas helped scope and implement two new features, as well as help with project management to ensure that targets were met within deadlines.
• Search engine - Novo Nordisk: Andreas helped develope a new NLP based search engine for statistical outputs in clinical trial. The solution was build and hosted on AWS with a techstack including: Various AWS services, Python, FastAPI, ElasticSearch and Vue.js.
• Andreas created the framework for collecting user data, and used ML to tune the search engine to make custom search recommendations based on usage patterns.
Azure Data Engineer image2.svg