Rimma Shafikova has a diverse work experience in various roles and industries. Rimma started their career at ABBYY in 2010 as a Chinese text resource specialist and later became a group leader. In 2012, they joined the National Taiwan University of Science and Technology as a research associate, where they were involved in several multidisciplinary industry-academia collaboration projects. Their responsibilities ranged from project management and programming to planning and reporting experiments. Rimma then worked at Racing & Wagering WA (RWWA) in 2014 as an analyst programmer and R&D engineer. Currently, they are working as a data scientist at VGW since 2017.
Rimma Shafikova has a strong educational background in both Mechanical Engineering and Information Technology. Rimma obtained their Engineer's Degree from Bauman Moscow State Technical University, where they studied from 2003 to 2012. Later, they pursued a higher level of education and received their Doctor of Philosophy (Ph.D.) degree in Mechanical Engineering from the National Taiwan University of Science and Technology, completing their studies from 2013 to 2015.
In addition to their formal education, Rimma has also obtained several certifications. Rimma has achieved fluency in Spanish at an elementary level through the Duolingo language learning platform, which they completed in September 2015. Rimma is also a Certified Neo4j Professional, which demonstrates their expertise in using Neo4j, although the details of its acquisition are not provided. Furthermore, Rimma holds the Microsoft Certified Professional certification, although the specific timeframe of their certification is not mentioned.
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