Diwo
Vyjayanth Makena has extensive work experience in the field of technology and analytics. Vyjayanth is currently working as a Product Solutions Architect - AI at diwo since January 2019. Prior to that, they worked at DataFactZ as a Data Science Practice Manager from February 2017 to December 2018. Vyjayanth also served as a Senior Architect - BI & Analytics at M3BI - A Zensar Company from April 2015 to January 2017. Before that, they held various roles at Cognizant, including Senior Technology Architect from February 2013 to April 2015, and Senior Project Manager from May 2009 to July 2013. Vyjayanth also worked as a Senior System Analyst at Butler America from April 2007 to April 2009. Additionally, they served as a Sr MicroStrategy Engineer at Datafactz from 2006 to 2007, and as a Senior Software Engineer at Adea Solutions from April 2005 to February 2006.
Vyjayanth Makena holds a Master of Science degree in Electrical Engineering from The University of Texas at Arlington. They also have a Bachelor of Engineering degree in Electrical and Electronics from Chaitanya Bharati Institute of Technology. Additionally, Vyjayanth attended Little Flower Junior College, although the degree name and field of study are not specified. Vyjayanth has obtained several certifications, including Tableau Desktop 9 Qualified Associate from Tableau Software, and the AI TensorFlow Developer Professional Certificate from deeplearning.ai. They have also completed courses such as Accelerated Computer Science Fundamentals from the University of Illinois at Urbana-Champaign on Coursera, and Applied Data Science with Python Specialization from the University of Michigan on Coursera. Other certifications include Azure Data Scientist Associate from Microsoft, Data Scientist from DataCamp, Deep Learning Specialization from Coursera, Google Cloud Data Engineering, Big Data, and Machine Learning on GCP Specialization from Coursera, MicroStrategy Architect from MicroStrategy, MicroStrategy Data Scientist from MicroStrategy, and MicroStrategy MCEP 9.4.1 (incomplete institution information provided). No specific completion dates are provided for the certifications.
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Diwo
diwo is a platform developed by Loven Systems for supporting analytics-based decision-making in businesses with novel cognitive capabilities, in order to enable continuous business optimization. The design of diwo is based on patent-pending methods built around the concept of an opportunity and cognitive decision-making methodology, called SEAL™(an acronym for Sense, Explore, Act, and Learn).Informally speaking, an opportunity is a time-sensitive business situation that, if not addressed in time, will have an adverse impact on the financial performance of business due either to missing potential gain or by potentially incurring a loss.diwo reveals business opportunities in real-time by continuously analyzing incoming data streams from various sources. It explains the potential impact of revealed opportunities, further recommending a best strategy to address the opportunity within the current business context.