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

Swarup brings more than 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 of over US$2 billion and a regional service business of over US$1 billion. Those years gave him deep experience in how organisations translate strategy into execution, and what separates consistent performance from good intentions. That work informed his book, The Performance Bridge (2026), on the relationship between leadership intent, execution, and outcomes. His own experience with AI has reinforced a clear view: existing knowledge and domain experience, when combined with AI capability, become a significant multiplier. That perspective shapes how he teaches — and what he believes mid-career professionals can achieve. He brings an industry-grounded perspective to teaching. His approach is practical, applied, and especially relevant for mid-career professionals seeking to build credible AI capability and use it meaningfully in business and operational contexts. Swarup 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, and a B.Eng. in Electronics.

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.

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.

atrick delivers namely cloud computing courses from Amazon Web Services (AWS) 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.

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. A dedicated mentor and educator, Feng has a proven track record of developing curriculum and training programs that have improved team proficiency by 40% and significantly streamlined operational workflows. 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 PharmaTimes International Clinical Researcher of the Year and winning 3rd Prize in the Big Data Analytics Hackathon. He is an ACLP certified Adult Educator under the TAEPP framework, skilled in delivering quality learner-centered continuing education and training programmes.

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. As an Adjunct Lecturer, Soon finds his greatest fulfillment in the "lightbulb moments" of his learners. He specializes in demystifying the frontier of Generative AI, MLOps, and Cloud Architecture, transforming intimidating technical hurdles into accessible, exciting opportunities for growth. His approach goes beyond the syllabus; he strives to instill a mindset of continuous innovation and curiosity in every adult learner he mentors. 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. For Soon, these credentials are a testament to his commitment to staying at the vanguard of technology so he can better guide his learners through an ever-evolving digital world.

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. Irene holds a Bachelor's degree in Economics from the National University of Singapore and an Advanced Professional Certificate in Data Science and AI from the Nanyang Technological University.

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. Her approach to teaching is grounded in patience, active listening, and a genuine commitment to her learners' growth. 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.