Remus Octavian Cimpean

Development of Data Science Products A key area of interest is identification of data science solutions to address business problems, then build the analytics value chain: deliver data science solutions as a service, build the data analytics processes, prototype standalone applications and finally transform them into analytical products.

Lead Data Analytics Operations Manage analytical projects applied to various industries Design data science solutions in client business environment Manage the transfer from design to execution mode for the analytical solutions Ensure data science subject matter expertise

Computational Statistics

Applied statistics and numerical calcullus