Peut être disponible
(Mis à jour Il y a 1+ an)Senior Data Scientist
Stockholms län, Sweden
Natif Svenska, English, Courant Finnish, Intermédiaire Chinese, Débutant German
- 10+ års erfarenhet av R
- 10+ års erfarenhet av Python
- 10+ års erfarenhet av maskininlärning
Compétences (48)
RNA
KERAS
METRICS
DATA SCIENCE
GENOMICS
Data Analysis
SHINY
NEURAL NETWORKS
BIOINFORMATICS
NEURAL NETWORK
DNA
Git
MATPLOTLIB
OPENCV
STATISTICS
EDUCATING
Docker
Python
DNA SEQUENCING
BIOTECHNOLOGY
SALES FORECASTING
TEACHING
TENSORFLOW
Hadoop
C++
SPSS
Perl
VISUALIZATION
NEURAL
SEQUENCING
NDA
MARKETING ANALYSIS
BIOCHEMICAL
WORKFLOW
MEDICAL INDUSTRY
CONTRACTS
SALES AGENTS
CLOSING
NATURAL
SEMANTIC
Hadoop
BUSINESS SERVICES
STRUCTURED SOFTWARE
JOURNAL
SYSTEMS ANALYSIS
PIPELINE
SOFTWARE DEVELOPMENT
QUALITY CONTROL
Expérience professionnelle
2019-09 - Actuel
2017-11 - 2019-08
communication etc. Contributed to the Peltarion platform by proposing and testing
functionality, onboarding customers and giving courses, webinars and talks. Drove
Peltarion's efforts in natural language processing and medical AI.
Technologies: Python, Tensorflow, Pytorch, Docker, Google Cloud, Peltarion
platform.
2017-06 - 2017-11
learning methods to address productivity and quality issues in manufacturing
industries. I built predictive, actionable models and deployed interactive web apps to support factory operators and engineers in optimizing quality and output. My
work was instrumental in securing two new contracts with big industry clients.
Technologies: Bluemix/IBM Cloud, SPSS, Python, R.
2012-11 - 2017-05
bioinformatics support unit, which provides project-based deep data analysis support for academic customers who need to interpret complex genomic data. From late
2014-01 - 2014-01
bioinformatics initiative. Co-published numerous research papers in different areas of
biology. Co-supervised two PhD students and mentored several master students and interns.
2010-05 - 2012-10
introduced quality control routines and automation. Performed analysis projects for
customers and participated in research.
Technologies: Python, R, git, SLURM, Hadoop.
2007-08 - 2010-04
bioinformatics analysis. Participated in research leading to many papers in top-
ranking journals such as Nature and Cell.
Technologies: R, Python, bash, cluster computing.
2001-10 - 2007-06
My PhD was on modelling neurons and neural network in the spinal cord of the lamprey, a primitive vertebrate. The PhD work resulted in several publications
including one in the high-ranked journal PNAS. I also published on the structure of biochemical networks and machine learning for DNA/protein interactions. I taught
courses in computer science, numerical analysis, software development, machine
learning, neural networks and biocomputation.
Technologies: Matlab, Python, bash, differential equation solvers, dynamical
systems analysis, graph theory.
2000-04 - 2001-10
company developing data and text analysis solutions for the medical industry. I
tested, implemented and designed algorithms for the company's products. This gave
me a solid basis in search engine technology, text mining and machine learning.
Technologies: C++, Java, Perl, information retrieval, decision trees, Bayesian
classifiers.
Parcours scolaire
2019-09 - 2007-01
2019-09 - 2000-01
2019-09 - 1998-01