Geoffrey Kee

Geoffrey Kee

Data Scientist, Artificial Intelligence Lab, Corporate Technology
MIMOS Berhad (National Applied R&D Centre)


Mr. Geoffrey Kee is the Data Scientist and a Researcher at the MIMOS Berhad, which is Malaysia’s premier Applied Research and Development Centre in Information and Communications Technology, Industrial Electronics Technology, and Nano-Semiconductor Technology. He researches primarily in machine learning and deep learning, which contributes to Big Data Stack Development that provides Predictive Deployment for Industrial practices.

One of his present research examines the implementation of Predictive Maintenance, using specific machine learning concepts and use cases to predict the outcome of monitoring the condition of equipment as it is operating. Prior to this, he was the Co-Founder and the Director of Data Analytics Centre at the HELP University and has 15 years of Corporate Banking experience in Malaysia.

Geoffrey is a Certified Enterprise Data Scientist that holds an MBA from Strathclyde Business School, Glasgow, and his Bachelor studies were major in Accounting & Finance from Murdoch, WA. He is in his final year of pursuing his 2nd Master Degree in Supply Chain Management from Malaysia Institute of Supply Chain Innovation (MISI), a member of the MIT Global SCALE (Supply Chain and Logistics Excellence) Network.

Some of his Professional Education as follows:
• Harvard Business School Executive Education – 2017
HBS Malaysia Cohort -2: “Competing on Business Analytics and Big Data”
• MIT – Data Science & Big Data Analytics – 2017
“Making Data Driven Decisions, Data Science and Big Data Analytics”
By Statistics and Data Science Center – MIT-xPRO Certification

SPEAKER SESSIONS

Geoffrey Kee will be appearing in the following sessions:

How Big Data & Machine Learning change the Supply Chain of Tomorrow?
LogiSYM Malaysia 2018: Day 2 - 25th July, 11:30–12:15, Interactive Panel Discussion

According marketsandmarkets.com, the predictive analytics market size is expected to grow from USD 3.85 Billion in 2016 to USD 12.41 Billion by 2022,…

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