Lecturer Eric Goh

MTech, Exec. MBA, PRINCE2 Practitioner, CBDSA

Eric Goh is a researcher and entrepreneur with over eight years of experiences in multiple industries. His varied career includes data science research, intelligent system development, IT project management, and adjunct lecturer. He is the manager of boozedesign, and has recently founded SVBook, and a sub-branch - LajuSoft.com .

Eric Goh has been managing and leading his teams for various industrial projects, including the advanced unstructured product description classification system project which automates Singapore Custom’s trade facilitation process. He has years of experience in C#, Java, C/C++, SQL, SPSS Statistics and Modeller, SAS Enterprise Miner, R, Python, Excel and etc. Eric's experience and education foster on the East (SG, China and India) meeting the West (USA, UK, EU), covering multidisciplinary fields required for IoT and Data Science, including Hacking Skills (Product & Software Engineering), Maths and Statistical Knowledge, and Substantive Expertise (Business & Management). He holds a Masters of Technology from the National University of Singapore, an Executive MBA from U21Global (SG) and IGNOU (India), a Graduate Diploma in Mechatronics from A*STAR SIMTech, and Statistical courses from Duke University and Imperial College London. He is also a certified PRINCE2 Practitioner, Big Data Science Analyst (CBDSA) from GSTF, IES (EU) Certified Lecturer, and Hanban (China) Business Chinese Test Certificate.

Eric has also been a finalist in TelR Data Mining Competition for counterfeit banknotes prediction, and a recipient of Tan Kah Kee Young Inventors’ Merit Award. He is a fellow at the Institute of Management Specialists, and has been inducted into Upsilon Pi Epsilon Honor Society for Computing and Information Disciplines. He is the author of the book, “Learn By Examples – A Quick Guide to C# Programming”, published at LeanPub.

Specialties: Data Science, Text Mining, Social Network Analysis, Natural Language Processing, Machine Learning, Software Engineering, Mechatronics, Business.

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