Sabyasachi Chakrabarty is a skilled Research Assistant currently at GWDG - Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen, focusing on MPI-based C-code development for efficient data transfer in High Performance Computing clusters and creating ML-based data analysis pipelines. Previous roles include work at Universitätsmedizin Göttingen, where Sabyasachi developed an ML preprocessing pipeline for medical datasets, and at The University of Göttingen, where contributions were made to analyzing neural images and signal processing. With additional experience as a Data Scientist in various competitions and a Creative Technologist at Leo Burnett, Sabyasachi combines expertise in data science, biology, and innovative problem-solving. Academic qualifications include an ongoing Master's in Applied Data Science from the University of Göttingen and a Master's in Biotechnology from the Indian Institute of Technology, Bombay.
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