Consultant in data science. Since I started, I have been contracted by Stockholm Exergi and Polarium.

Contracted as machine learning engineer and data scientist on behalf of Helicon.The project involves the optimized use of batteries, specifically at telecom sites, to switch between the power grid and stored energy as prices fluctuate. This is done by predicting the site's energy consumption and future prices (using deep learning) and finding a solution to an optimization problem based on these predictions.

Contracted as a data scientist on behalf of Helicon. My projects at Stockholm Exergi focuses on predicting energy consumptions (using machine learning algorithms) and network losses (based finite element methods) and to even out daily district heating peaks (by controlling and optimizing customer behaviors). I work tightly with developers, setting functional requirements for the implementations, and the products we have developed will increase profitability for the company while reducing the environmental impact.

Contracted as a business analyst on behalf of FCG. I was working on the Next Generation Risk Management project in which Nasdaq risk assessment solutions were implemented on the Hong Kong Exchange.Among other responsibilities, I designed the daily schedule of risk calculations on the Hong Kong exchange, laid out the trader clearinghouse and account structure, and set up a framework for calculating risks of advanced products, such as callable bull-bear contracts.

Consultant in data analytics in financial services. During my time at FCG, I was contracted in the following projects:UC AB - Analysis of the Swedish market of uncollateralized loans on behalf of one of the big banks in Sweden. Duration: Jan 2018 - Apr 2018.Nasdaq - Business analyst in the Next Generation Risk Management project in which Nasdaq's platform was implemented on the Hong Kong Exchange. Duration: May 2018 - May 2019.

Contracted as a data analyst on behalf of FCG in a project for Swedbank. The project involved analyses of big data of uncollateralized loans with the aim to identify critical determinants responsible for the lack of Swedbank market shares. Specifically, we found a portfolio worth several hundreds of millions in SEK that the bank was missing out on due to their unprecise credit scoring.

Marie Curie Early Stage Researcher in the Innovative Modelling for Pharmacological Advances through Collaborative Training (IMPACT) project. The project involved the development and application of novel mechanism-based models for capturing dose-response-time data in situations where systemic exposure is sparse or lacking, mainly using nonlinear mixed-effects models. Associative partners: AstraZeneca and Fraunhofer-Chalmers Centre.Marie Curie Early Stage Researcher programs - https://ec.europa.eu/research/mariecurieactionsIMPACT project page - https://cordis.europa.eu/project/id/316736.

Teacher assistant and supervisor for computer labs for Engineering Biology and Chemistry students.Course: Applied Mathematics (FEM, Fourier Methods, Linear Transformations).

Teacher assistant and supervisor for computer labs for Mechanical Engineering students.Courses: Linear Algebra and Calculus

Contracted student at Fraunhofer-Chalmers Centre (FCC), at the Geometry and Motion Planning group, during my studies at the Chalmers University of Technology. The work involved statistical analyzes of paint thickness estimations used in the automotive industry.