I have always been interested in problem-solving and curious to understand how things work. This interest brought me to basic science, where I did a PhD in nuclear structure calculations. The same driving force is now bringing me to a new field, where I can apply the knowledge I gained during my PhD studies in computation physics. During my research I developed skills in data analysis, high-performance computing, numerical methods and mathematical modeling. I recognize myself as a team player, however I am not afraid for taking a leading role in a group. I appreciate well-defined goals and are prepared to work hard to reach them.
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Lead Data ScientistEghed Feb 2023 - PresentGöteborg, Västra Götaland, SverigeThe focus of my role is to help our customers to solve their problems based on data.I have work with several customers and been leading several end-to-end machine-learning projects. -
Lead Data ScientistVocalise May 2024 - PresentPart of the founding team - developing a personalised song coach based on ML and the latest knowledge within singing education.My role is to lead the data science work: modelling and data. -
Data ScientistSleep Cycle Feb 2019 - Jan 2023GöteborgMy role is to take responsibility of the data analysis, which will include data both related to sleep patterns and app usage, with the aim to improve how people are sleeping! -
Data AnalystCombine Ab Nov 2016 - Feb 2019GöteborgI've worked as a consultant for Combine, with a focus on data analysis and statistics. My first two assignments has been in the automotive industry, working for Volvo Cars. My main focus has been to develop analysis workflows, both for evaluating emissions test for the motor calibration and driving test used in the vehicle development. In my last assignment, I've been responsible for developing an automated test-framework for the end-to-end verification of On-board Telematics at Volvo Trucks. The test framework we were developing is an offline analysis tool that evaluates monitors based on collected data from a full range of sources: from CAN data to web-based message history. -
Phd StudentChalmers University Of Technology Jul 2011 - Jun 2016GöteborgI studied clusterization in light nuclei in a microscopic model. A major part of my work involved designing and developing computational software and analyzing the computed results. In addition to the research, I also taught and supervised lab courses in both physics and programming. Together with the experience of presenting scientific results both in print and in presentations have developed my skill of communication both to a general audience and to experts. -
Summer StudentCern Jun 2010 - Aug 2010Genèvekantonen, SchweizAs a summer student in CERN’s international summer student program, I got the opportunity to be a part of a initial test trying to research the opportunity to apply β-NMR on biological samples. In a small team, we constructed, tested and evaluated an initial experimental setup. This opportunity gave me the experience of starting an experimental project and also the experience of working in an international research centre. -
Summer ProjectJohannes Gutenberg-Universität Mainz Jun 2009 - Aug 2009Mainz, TysklandThrough an exchange between the University of Gothenburg and the university in Mainz, I got the opportunity to spend a summer in Germany with the aim of constructing an emittance meter to measure the intensity of the particle beam in a mass-spectrometer. I designed and build the meter, and developed software drivers to perform the measurements. During this summer I developed my skills and knowledge in construction, measurements and hardware integration.
Daniel Sääf Skills
Daniel Sääf Education Details
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Physics -
Physics -
Physics -
Physics
Frequently Asked Questions about Daniel Sääf
What company does Daniel Sääf work for?
Daniel Sääf works for Eghed
What is Daniel Sääf's role at the current company?
Daniel Sääf's current role is Data Scientist | Solving problems with data.
What schools did Daniel Sääf attend?
Daniel Sääf attended Chalmers Tekniska Högskola, Chalmers Tekniska Högskola, Göteborgs Universitet, Göteborgs Universitet.
What skills is Daniel Sääf known for?
Daniel Sääf has skills like Programming, Computational Physics, High Performance Computing, Nuclear Physics, Teaching, Python, Latex, Mathematica, Mathematical Modeling, C, Fortran, Presentation Skills.
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Daniel Sääf
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