Panel | From Experimentation to Industrialisation – How to trully create impact with Advanced Analytics and AI

Bio

Shilpa Sindhe | Data Science Lead Instructor | General Assembly | Singapore

Shilpa has been in the Data industry for close to 12 years. She graduated with a Master’s degree in Electrical & Electronics Engineering from the National University of Singapore. She is currently a Lead Instructor for the Data Science course at General Assembly Singapore where she trains and enables mid-career professionals to break the barrier into Tech. Before her current role, she previously worked as a Data Scientist in an HR Tech start-up, the public sector, and at Fortune 500 Semiconductor MNC. She has worked extensively with various tools like AWS Cloud Technology, Python, Power BI, and SQL to solve various business problems around Natural Language Processing (NLP), Machine Learning (ML), Statistical Analysis, and Reporting Automation.

Guan Wang |  Senior Data Scientist | Munich Re | Singapore

Bio

Guan Wang is currently a Senior Data Scientist for Life & Health Asia Pacific, Middle East and Africa business of Munich Re. He has been working on research and development of machine learning, computer vision and natural language processing in academic institutions and industrial research labs, and has published several technical books, academic papers and industry patents. He is also an active tech blogger and community contributor, receiving 11k+ stars for his open source projects on Github. Guan has more than 12 years of experience in data science and 4 years of experience in applying AI to the insurance industry. He holds a Bachelor degree in Physics and Computer Science from Peking University, and a MPhil degree in Physics from the Hong Kong University of Science and Technology.

Sutowo |  Director, Data Analytics | MOH Singapore | Singapore

Bio

Sutowo is the Director, Data Analytics Division at Ministry of Health (MOH) Singapore. He leads a team of data scientists, statisticians and health economists in applying artificial intelligence (AI), machine learning (ML), operations research, systems modeling, geospatial analytics, forecasting, econometrics, visualisation and primary research in support of MOH’s priorities in policy formulation and review, service planning and operations.

He is responsible for leading health AI strategy and building ecosystem enablers needed i.e. AI governance, data and IT platforms, funding, to support the development and deployment of impactful, scalable, responsible AI solutions in the healthcare sector. He is also responsible for capability development, publication, partnership and outreach with regard to data analytics and AI in MOH.

Prior to his role in MOH, he was in various analytics leadership roles with experience across various domains such as customer, fraud/risk, HR and operations. He worked with organisations in public service, healthcare, pharmaceuticals, CPG, retail, telco, banking, insurance, energy, airlines and hospitality in Southeast Asia, China, India and Japan.