About

Munish Kaushik is a seasoned data scientist with over 16 years of experience in analytics, automation, software development, and project planning. He is passionate about analyzing data using various supervised and unsupervised learning algorithms, and has extensively worked on big data problems in varied domains like transportation, click stream analysis, and pricing. Currently, Munish is leading the Oracle Enterprise Performance Management Data Science team, working on bringing out key insights to Oracle EPM. Munish has a proven track record in leading engagement, delivery, and transformation of large and complex multi-million dollar IT managed services and ADM engagements in onshore/offshore model. He is an expert in deal solutioning, negotiations, interfacing, and client relationship management, program management. He has also served as a member of IBM Corporate Service Corps team in Tanzania in 2011, where he developed a roadmap for the Ministry of Health & Social Welfare for their 2020 plan. Munish's expertise includes machine learning, time series forecasting, deep learning, computer vision, engagement & delivery management, global integrated delivery (large & complex projects), application management services, and automation of complex jobs. He is a certified PMI-ACP and has a strong understanding & experience on CMMI processes. Munish has worked with some of the leading companies in the industry. Prior to his current role at Oracle, he was a lead data scientist at IBM, where he worked on pricing analytics and ITOA. He also worked on various analytics-based projects and products as a data scientist at IBM. Munish holds a degree in Big Data & Analytics from the Indian Institute of Management, Bangalore, and a Master of Computer Applications (MCA) from Kurukshetra University. He also has a background in computer vision, deep learning, big data, ML, and software engineering. Overall, Munish is a highly skilled data scientist with a wealth of experience and expertise in the field.