MR. KOO PING SHUNG
Mr. Koo Ping Shung is an experienced Data Scientist with an MBA degree and accumulated more than 15 years of relevant experience. He is a seasoned Trainer in Data Science as well, having trained numerous professionals on Analytics.
He was a guest lecturer at NUS-ISS, Adjunct Senior Faculty at SUSS and previously held an adjunct position in School of Information Systems, Singapore University of Social Science and ESSEC Singapore,. He is currently the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 10 intakes.
Prior to this, he was the Analytics Practicum Manager of the Master of IT in Business (Analytics) Singapore Management University, School of Information Systems. He managed the industrial relationships through projects and attachments. He often advised companies on the type of Analytics projects they can do with their data and is a co-supervisor for many MITB students on their Analytics Capstone Projects.
During his time at SMU, he was an instructor in the DBS Graduate Associate Programme (GAP) for 3 years, teaching over 200 GAs on what Analytics is all about, and received positive ratings. He has trained numerous professionals on Analytics and usage of SAS software from various companies as well, from industry like financial services, pharmaceutical and logistics.
Besides being an instructor for DBS GAP, he was a facilitator for IDA Data Science MOOC programme for 2 cohorts (over 300 professionals) and participated in Singapore's first Data Literacy Bootcamp, co-organised by the IDA Singapore and The World Bank.
Before going to SMU, Ping Shung was formerly from the banking industry, having worked in DBS Bank and OCBC Bank, specialized in Credit Risk Analytics and also maintained data mart and its processes for the department. His banking experience has equipped him with knowledge on how data, IT infrastructure, compliance and regulations affect Analytics and vice versa. Ping Shung also has experience in implementing mathematical models onto IT systems.
Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising MITB (Analytics) students and doing education research. His Analytics experience range from a wide variety of business functions and industries, gathered from talking to companies from a wide variety of industries.
Ping Shung’s strong passion in Data Science & Artificial Intelligence can be seen through his involvement in Analytics tech communities, being a Co-founder of DataScience.Sg, former Working Committee Chairman of SAS User Group Singapore and Data Ambassador for one of DataKind SG project and workshop facilitator. He also read widely on the different topics related to Data Science and Artificial Intelligence, keeping himself up-to-date with their development. He has presented to organizations such as NLB, BCA, CPF, IRAS and SEMI. He also contributes articles to AI Singapore, an institution in Singapore, focused on building AI capabilities.
His research interest lies in how Data Science/Artificial Intelligence can help organizations and businesses to be more efficient and effective, and how organizations can build in-house data science capabilities successfully.
Ping Shung holds an MBA from University of Adelaide. He obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance.