IT-Konsult Stockholm, Sverige

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(Uppdaterat 2020-03-12)

IT-Konsult

Stockholm, Sverige

Modersmål English, Flytande Svenska

  • Data Analysis
  • 7+ Research Engineer
  • 7+ års erfarenhet Machine Learning Engineer
Kontrakt

Kompetenser (16)

Data Analysis

NUCLEAR ENGINEERING

FAST LEARNER

Machine Learning

SCHEDULING

NUCLEAR POWER

SOFTWARE DEVELOPMENT

STATISTICAL ANALYSIS

MANAGING PROJECTS

NEURAL NETWORKS

STRUCTURED SOFTWARE

MARKETING ANALYSIS

KERAS

MATLAB

NEURAL

VISUALIZATION

Professionell bakgrund

Machine Learning Engineer
Inovia AI

2018-01 - Pågående

Managing the development, deployment, piloting and full scaling up of a distributed software build automation and optimization tool for a global telecom corporation.

Participating in development of machine learning (Python) models for: an artificial intelligent virtual assistant (chatbot), natural language interface for database (SQL) for English and Swedish languages, digital cognitive health system for disease diagnosis.

Developing machine learning models (Python, Keras) for image recognition of different types of flowers for a big floral company.
Research Engineer / Doctor Student
KTH

2007-01 - 2017-01

Managed the doctoral project: scheduling tasks, working actively with teams, finding effective solutions, reporting the work in writing and orally for diverse audiences. Supervised master students course projects.



Analyzed data, included using statistical analysis and data visualization, from thousands of computer simulations of Swedish nuclear power reactor systems. Recommended improvements for reactor safety.



Applied machine learning (artificial neural networks, genetic algorithm) for development of models which predict outcome of physical phenomena in nuclear reactor and for validation of reactor simulation codes.



Carried out risk assessment for nuclear reactor safety, using deterministic and probabilistic computational analyses.



Generated data from calculations and experiments, proposed approaches to improve the data to match requirements.





For more information

please contact:


Linda Ohlsson

linda.ohlsson@inoviagroup.se

Phone: 070 222 79 61

Akademisk bakgrund

Ph.D
KTH Royal Institute of Technology

2024-04 - 2024-04

M.Sc.
University of Leuven

2024-04 - 2024-04

M.Sc.
Hanoi University of Science and Technology

2024-04 - 2024-04

common and state
common and state

2024-04 - 2024-04

Kontakta konsult

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