Data scientist with experience in R&D / IT, with a focus on problem-solving and modeling with applied mathematics techniques in engineering environments.Designs algorithms and statistical models, e.g. Operational Research, optimization, time series forecasting. Develops algorithms for software under agile software development methodologies. Explores the wider context of business problems and combines domain and data science expertise.Comfortable when working with complex and diverse topics, learning, generating new concepts. Experience in energy, supply chain, telecommunications, HR consulting and pharmaco-economic industries. The tech stack includes Python, R, SQL, Amazon Web Services, optimization tools and solvers (AMPL, CPLEX), data visualization / Machine Learning / code development tools. Motivated by learning. Post-graduate studies in the field of data analysis, doctoral and master studies in mathematics (MSc title).Building data solutions for industrial applications, modeling real-world systems and processes, with the use of research, scientific computing and applied math techniques, is life's passion.