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(Opdateret 2020-01-15)Data Scientist / ML Engineer
Stockholm, Sweden
Modersmål Svenska, Flydende English
- Cloud
- Machine Learning
- Python
Kvalifikationer (18)
Pytorch
KERAS
PANDAS
ALGORITHMS
PROTOTYPING
STATISTICS
DATA ANALYST
Machine Learning
Developer
TENSORFLOW
Docker
DevOps
Cloud
Data Scientist
PRODUCT DEVELOPMENT
DATABASE MANAGEMENT
Python
SQL
Professionel erfaring
Trained in support warfare
Swedish Armed Forces
2015-01 - Nuværende
requiring high physical ability and excellent teamwork skills.
Data scientist consultant
Kamin AI
2018-01 - Nuværende
Building algorithms and mathematical models in various machine learning appli-
cations. Experience from both classical machine learn-
ing models and deep learning models such as object and anomaly detection in various settings, natural language pro-
cessing for EHR data and straight forward regression and classification models. Experience from various cloud de-
ployment mainly on Amazon Web Services.
cations. Experience from both classical machine learn-
ing models and deep learning models such as object and anomaly detection in various settings, natural language pro-
cessing for EHR data and straight forward regression and classification models. Experience from various cloud de-
ployment mainly on Amazon Web Services.
Maklarstats.se
2018-01 - 2019-01
Stockholm
Private project. Developed a website for visualisation of stock market broker trades. End to end project including
data pipes, database management, web programming, and application deployment.
Private project. Developed a website for visualisation of stock market broker trades. End to end project including
data pipes, database management, web programming, and application deployment.
Data analyst
Kriisa Consulting AB
2017-01 - 2018-01
Analyzed data from multiple data sources and produced event based presentations for customers. De-
veloped internal analysis tools such as visualisation applica-
tions for sonar data and tracking algorithms for radar data.
veloped internal analysis tools such as visualisation applica-
tions for sonar data and tracking algorithms for radar data.
SAAB surveillance
2017-01 - 2017-01
Thesis project. Developed a data driven classification
model with the purpose to distinguish between radar echoes from birds and smaller drones (unmanned aerial vehicles).
model with the purpose to distinguish between radar echoes from birds and smaller drones (unmanned aerial vehicles).
Swedish Armed Forces
2011-01 - 2012-01
GSS/K Swedish Marines1 . Enlisted as a Combat Life
Saver trained in combat related health care and survival
techniques. Educated platoons in combat related health
care.
1
GSS/T and GSS/K are two employment forms at the Armed Forces which includes part time respectively
full time team leaders, soldiers and sailors
Saver trained in combat related health care and survival
techniques. Educated platoons in combat related health
care.
1
GSS/T and GSS/K are two employment forms at the Armed Forces which includes part time respectively
full time team leaders, soldiers and sailors
Akademisk baggrund
Master of science in Applied and Computational
Royal Institute of Technology
2015-01 - 2017-01
Bachelor of science in vehicle engineering
Royal Institute of Technology
2012-01 - 2015-01