(SCTP) Advanced Professional Certificate in Data Science and AI (Full-Time)

Speakers

Trainer's Profile:

Swarup brings over two decades of leadership experience across Asia. During his career at Johnson Controls, he led large and complex businesses across 14 countries, including a sales organisation generating over US$2 billion and a regional service business exceeding US$1 billion. His experience with AI has reinforced a clear belief: when domain expertise is combined with AI capability, it becomes a powerful multiplier. This perspective shapes both his teaching approach and his view of what mid-career professionals can achieve. He is the co-founder of a technology start-up and holds a Postgraduate Certificate in AI/ML from the McCombs School of Business at the University of Texas at Austin, as well as a B.Eng. in Electronics.

Trainer's Profile:

Zane is a seasoned data scientist and startup co-founder. Boasting a dynamic career with industry leaders like Gojek and Alibaba, along with commendable academic and teaching experiences at the National University of Singapore and General Assembly, Zane brings valuable insights to the table. His innovative contributions to NLP and AI platforms ensure a practical, industry-relevant learning experience.

Trainer's Profile:

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.

Trainer's Profile:

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.

Trainer's Profile:

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.

Trainer's Profile:

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.

Trainer's Profile:

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.

Trainer's Profile:

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.

Trainer's Profile:

Chen Pang has more than 23 years of experience in technical training, curriculum development, software engineering and product development, building his career with international clients and stakeholders to develop courses, roll out software products, implement technical solutions and conduct product testing, including 10 years of software engineering experience at Philips and 13 years experience as an instructor and coach running bootcamps. He teaches software engineering and specialises in HTML/CSS, JavaScript, React, Node.js and React Native. Chen Pang is currently programme director and instructor with Skills Union.

Instructor's Profile:

Feng Feng is a seasoned data science and operations professional with over 20 years of experience in driving strategic planning and data-driven decision-making across the CRO, ITO, and FMCG sectors. Most recently, as a Regional Manager at ICON, Feng led cross-functional initiatives that utilized advanced analytics to optimize global resource planning and workforce forecasting. With a career spanning leadership roles at Hewlett-Packard and Procter & Gamble, Feng specializes in translating complex data into actionable business insights through tools like Tableau, QlikView and SAP. Feng holds a Bachelors of Engineering in Electronic Information Engineering from Southeast University and Masters of Technology in Knowledge Engineering from NUS. His excellence in the field is recognized by numerous accolades, including being a finalist for the Pharma Times International Clinical Researcher of the Year and winning 3rd Prize in the Big Data Analytics Hackathon.

Trainer's Profile:

Alvin Chua brings two decades of experience building successful AI capabilities across enterprise and consulting contexts. Currently with Commune AI, his experience spans both sides of AI transformation — establishing capabilities within large enterprises and bringing cross industry AI best practices as external consultant — giving him practical insight into what makes implementations succeed. His technical depth covers classical statistics and machine learning, deep learning, computer vision, NLP, optimization, and Generative AI, with a proven track record in production AI systems and enterprise AIOps infrastructure. Alvin focuses on making AI implementations work. He helps organisations establish Centers of Excellence with governance structures, architects AIOps systems, and builds production solutions.

Trainer's Profile:

Soon is a seasoned technology educator and practitioner driven by a singular mission: empowering the next generation of digital leaders to master the complexities of the modern data landscape. With a career rooted in over two decades of high-level practice at DBS Bank, Soon does not just teach technology --- he shares a lifelong passion for the elegant problem-solving found in Software Engineering and Data Analytics. His deep industry roots as a Project Lead and Data Engineer are complemented by an exhaustive pursuit of technical excellence. A Microsoft Certified Trainer (MCT) and AITP-certified facilitator under the TAEPP framework, Soon holds elite certifications across AWS, Azure, and Google Cloud.

Trainer's Profile:

Irene is an experienced data analyst with a strong background in delivering insights across Singapore's property and real estate markets, including analyses presented to senior management and policymakers. She has held analytical roles at the Urban Redevelopment Authority and Housing & Development Board, where she contributed to housing policy formulation, property market cooling measures, and long-term demand projections. She later transitioned into a regional data role managing multi-country economic databases, where she significantly improved automated workflows using Python. Beyond her professional work, Irene has demonstrated a strong drive for continuous learning, ranking first in two separate Kaggle machine learning competitions and building an AI-powered dashboard and chatbot at the 2025 GECO Asia AI Hackathon using RAG and conversational analytics.

Trainer's Profile:

Rabiya is a data scientist and educator with a passion for making complex concepts accessible and empowering learners to succeed. She brings hands-on industry experience from her time as a Data Scientist at Spacewell Ventures, where she developed predictive models, built customer segmentation frameworks, and delivered data-driven insights to stakeholders. She has since channelled her technical expertise into training, having guided students across Python, machine learning, AI, and BI tools at Coding Invaders and Regenesys. Rabiya also brings strong operational leadership experience, having managed a team of over 150 instructors at Camp K12, where she applied Agile principles, automated data workflows with Python, and improved team efficiency significantly. Rabiya holds a Master of Computer Applications in Computer Science from Al-Ameen Institute of Information Science and a Bachelor of Computer Applications from HKBK Degree College, Bangalore.

Trainer's Profile:

James is a machine learning and AI practitioner with over 9 years of experience across fintech, e-commerce and marketplaces, specialising in building data science systems that work at scale and drive real business impact. Having begun his career in financial data analytics at Goldman Sachs and Deloitte UK's Forensic Technology team. At Moneysupermarket Group, he built ML pipelines serving 12 million customers and drove significant revenue uplifts through advanced customer segmentation models. More recently, James has moved deeper into agentic AI, building a production multi-agent LLM assistant end-to-end, encompassing multi-step planning, tool orchestration, retrieval-augmented generation (RAG) and evaluation frameworks. He currently serves as Technology and Data Advisor to an agritech startup and as a Data Science and AI Instructor at Nanyang Technological University.

Trainer's Profile:

Sifat is an accomplished Data & AI practitioner and educator with close to a decade of experience spanning data analytics, data science, machine learning, data engineering and artificial intelligence. His career has progressed from business analysis and data science to senior analytics consulting, before founding DigiTact, where he currently leads Data & AI consulting and training initiatives. Throughout his industry career, Sifat has worked on the end-to-end implementation of data solutions, including cloud data migration, ETL and data pipelines, machine learning, business process automation and analytics. Alongside his industry work, Sifat has built extensive experience as a Data Science & AI educator. Sifat specialises in Python, SQL, data analytics, machine learning, data engineering, cloud technologies and Generative AI.

Trainer's Profile:

Byan is an AI Engineer with close to a decade of experience spanning software development, machine learning and applied artificial intelligence, specialising in the end-to-end lifecycle of machine learning systems and MLOps. Having begun his career as a Software Specialist at ST Electronics, Byan progressively deepened his technical expertise through roles of increasing responsibility — most notably as a Senior Machine Learning Engineer at Amaris.AI and as a Software Lead at Lauretta.io, honing his technology leadership and software management skills, as well as completing an AI apprenticeship with AI Singapore. He currently serves in the AI Solutions division of ST Engineering's AI Centre of Excellence, where he focuses on Agentic AI Development and Large Language Model Operations (LLMOps) — placing him at the cutting edge of enterprise AI.

Trainer's Profile:

Shaun is the Chief Technology Officer and co-founder of Ninja Van, Southeast Asia’s leading tech-enabled last-mile logistics company. Since 2014, he has driven the technology vision, architecture, and scaling of Ninja Van’s operations across six markets—Singapore, Malaysia, Indonesia, Thailand, Vietnam, and the Philippines—supporting millions of deliveries daily through data-driven, high-performance systems. Before Ninja Van, Shaun held leadership roles in cloud solutions and business development at Alpst Corporation and Nubefy. He also worked in the telecommunications sector and served as a project manager at Terrapinn, where he led strategy, business development, and senior-level industry engagement for global events. Shaun began his career as a teaching assistant at the National University of Singapore’s School of Computing, conducting tutorials in e-commerce and programming.