(SCTP) Advanced Professional Certificate in Data Science and AI

Dr Teoh is a Academic Director and Senior Lecturer at Nanyang Business School (NBS), teaching Business Analytics and AI subjects. His other roles include:

• Academic Director of the NBS Master of Science in Business Analytics
• Associate Director of NTU NBS AI Lab and NTU Information Management Research Centre
• Adjunct Professor at Henan University, Shandong Institute of Technology and Han Chiang University

Dr Teoh has published 4 books and more than 100 publications. Additionally, he has more than three decades of research experience in the areas of Big Data, Deep Learning, Cybersecurity, AI, Machine Learning and Software Development. He also possesses more than 25 years of teaching experience in AI, Data Science and Analytics, Statistics, Business, Finance, Accounting and Law.

Dr Teoh obtained his PhD in Computer Engineering from NTU, Doctor of Business Administration and Master of Business Administration from University of Newcastle, Master of Law from the National University of Singapore, and Bachelor of Laws and Master of Laws from University of London. He completed his post doctorate at Singapore University of Technology and Design.

Akanksha is a data scientist and entrepreneur with a robust background in data-driven insights. Currently, she serves as the Co-Founder of Novela, a pioneering simulation platform for professional learning. Under her leadership, Novela has successfully partnered with prestigious institutions such as Columbia Business School, Imperial College London, and University College Dublin.

Prior to her role at Novela, Akanksha held significant positions at renowned companies such as Twitter, Spotify, Rakuten and Adobe in various roles in data science, machine learning, predictive modelling and software engineering. Akanksha has also worked as a data science researcher at the National University of Singapore (NUS) and published a paper on machine learning, data mining and natural language processing on social media data.

Akanksha has extensive experience in algorithms, learning platforms, machine learning, natural language processing, predictive modelling and software development in C++, Java and Python.

Akanksha holds a Master's Degree in Computer Science from NUS.

Dr Ng is a highly accomplished data scientist and entrepreneur with a proven track record of developing and deploying impactful data-driven solutions. As the Co-Founder and Chief Data Scientist of EigenAI, a cutting-edge company that leverages data to predict customer behavior, Yibin is at the forefront of applying data science to solve real-world business challenges. EigenAI is funded by Antler and EnterpriseSG. Before EigenAI, Yibin led data science initiatives at Standard Chartered and Uber, providing crucial data science support to operational teams across various continents.

Dr Ng holds a PhD in Electrical and Computer Engineering from Carnegie Mellon University. He has published various research papers in the field of data science, electrical engineering, magnetic storage media and signal processing. He also holds several US patents in cloud computing, hard disk drive and wireless communication networks.

Jawad is an accomplished technology leader with more than a decade of experience spanning artificial intelligence, machine learning, and data science. Jawad has held several leadership positions at Gojek, where he served as Head of Data for Gojek Mobility, leading the company's marketplace platform across engineering, product and data functions. He also drove significant technological innovations, including the development of pooled dispatch systems for food delivery and the successful transition from Google Maps to internal tools, substantially improving the unit economics of fulfillment services.

As Head of Data for Gojek Marketplace, he led a team of 30 data scientists and analysts to implement sophisticated machine learning solutions for pricing optimisation, demand modeling, and supply positioning. 

Jawad specialises in AWS cloud applications, computer simulations, Bayesian inference, predictive modeling, probabilistic models, recommender systems, statistical modeling, Tensorflow and software development in Java, Python and R.

Jawad holds a Master's degree in Knowledge Engineering from the National University of Singapore.

Germayne is a seasoned data scientist with extensive experience in data science, machine learning systems and mapping technologies. Germayne has held several leadership positions at GoTo Group, where he currently serves as Head of Data Science and is responsible for building the company’s mapping data platform.

Germayne drove significant technological innovations, including the development of sophisticated location search systems, routing optimisation, real-time Estimated Time of Arrival prediction systems and sustainable maps platform. Germayne has filed a patent for machine learning and publishes articles on data science on Medium and participates in Kaggle data science competitions in his free time. 

Germayne's areas of expertise include artificial intelligence, computer vision, deep learning, machine learning, predictive modelling, reinforcement learning, statistics, Tensorflow and software development in Java, Python and R.

Germayne holds a Master's degree in Computer Science from the Georgia Institute of Technology.

Shumin is an experienced practitioner with a strong background in leveraging data to drive business insights and solutions. As a data scientist, she is passionate about applying machine learning and analytical techniques to solve complex problems across various industries. Her experience spans both consulting and in-house roles, providing her with a broad understanding of data science applications.

Shumin holds a Bachelor's degree in Business Analytics from the National University of Singapore, scoring distinctions in Applied Analytics and Business Domain Applications. Her expertise lies in AI Engineering, Applied Analytics Techniques, Machine Learning, Natural Language Processing and Python Programming.

Patrick is a Senior Consultant and Instructor at IVT Pte Ltd. He delivers namely cloud computing courses from Amazon Web Services (AWS) and is an expert in VMware products. He has attained many certifications such as AWS Certified Solutions Architect, DevOps Engineering and Machine Learning. Besides AWS products, Patrick is also certified in Servicenow and VMware products.

He was a mentor instructor to qualify new instructors onboarding for VMware and Dell EMC’s training team. With his vast experience from IT infrastructure products such as servers, enterprise storages and virtualisation coupled with years of consulting and project management experience, his trainings are unique and beneficial to students due to his real-life experiences in the field. In his 25 years of teaching and consultancy roles, he has delivered a myriad of courses and projects in Asia, Europe and South America. 

Besides being a qualified instructor for AWS, VMware and Servicenow products, he holds an MBA from Heriot Watt University, Edinburgh Business School UK.