Communicating Insights with
Data Storytelling

Dr Yeo Wee Kiang

Dr Yeo Wee Kiang is a Senior Lecturer at the Department of Information Systems and Analytics in the NUS School of Computing. Previously, Dr Yeo was Adjunct Lecturer at the Department of Economics in the NUS Faculty of Arts and Social Sciences. Since 2019, he has been teaching the ECA5372 Big Data Analytics module as part of the Master of Economics coursework programme. Additionally, he was a part-time lecturer at Nanyang Business School in Nanyang Technological University where he imparted knowledge on Python programming and analytics to undergraduate students pursuing business studies. Prior to these roles, Dr Yeo served as the Lead Instructor (Data Science Immersive) at a New York-based commercial Continuing Education and Training (CET) provider. In that capacity, he taught aspiring adult learners in Hong Kong, Sydney, and Singapore who were eager to upskill or transition into new careers. Dr Yeo received his doctorate from National University of Singapore. For his PhD work, he focused his research on machine learning and data mining within a multinational pharmaceutical company. His area of specialization involved developing computational methods aimed at uncovering potential medicinal drug candidates. He also holds the WSQ Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning Singapore.

Ms Samantha Sow

Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics.

She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning.

Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore.

Her certifications include:

Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.