Swiss Data Science Center
Chandrasekhar Ramakrishnan is a seasoned software engineer and data scientist with extensive experience in developing innovative software solutions and data visualization projects. Currently serves as a Sr. Software Engineer at the Swiss Data Science Center, contributing to the Renku platform for collaborative data science, and as a Data Science Specialist at AlphaZetta. Prior roles include Tech Lead at ETH Zurich, where software development supported research initiatives, and various freelance data science projects. Educational qualifications include a BA in Mathematics from the University of California, Berkeley, and an MA in Media Arts and Technology from UC Santa Barbara. Chandrasekhar possesses a strong skill set in programming languages and technologies such as Python, JavaScript, and AWS, with a history of creative applications in multimedia and data analysis.
Swiss Data Science Center
Data science has become extremely important internationally, with the majority of top-tier international research and teaching institutions investing significantly in dedicated centers and programs. In this context, the ETH Domain launches the Initiative for Data Science in Switzerland to accelerate data science through both an expansion ofeducation and research, and the provision of infrastructure for data science users across disciplines. The Initiative creates both Master courses in data science at EPFL and ETH Zurich, and the Swiss Data Science Center (SDSC), a joint venture between EPFL and ETH Zurich. The mission of the SDSC is to accelerate the adoption of data science and machine learning techniques broadly within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector.