Sara Tähtinen is a data scientist with a strong background in mathematics, and a foreground in physics and deep learning. In her work as an expert on numerical simulations to study the production of gravitational waves in the early universe, she has run massive, high-performance calculations on the Supercomputer Sisu at the Finnish IT Center for Science (CSC). Prior to joining DAIN Studios, Sara worked in the research field at the Helsinki Institute of Physics and as a machine learning developer at ZenRobotics.
Sara’s research has extended from the acceleration of the electrons during magnetic reconnection using numerical simulations, tungsten fuzz formation and surface roughing under low-energy helium irradiation, and lattice simulations to study the production of gravitational waves. Sara has extensive knowledge and experience in using Python for Machine Learning (Scikit-learn), Neural Networks and Deep Learning (TensorFlow), as well as SQL, C++, R and FORTRAN and has used various data frameworks and infrastructure, such as AWS.
At DAIN Sara has developed behavioral segmentation models for a fashion clothing brand using CRM and Marketing Automation data.