Derek is a seasoned practitioner in the field of data science, with two decades of modelling and implementation experience in various industries. His data science expertise includes machine learning, decision optimisation, discrete event simulation, and their applications in tackling complex business challenges. He has practical experience in utilising combinations of these techniques to create solutions that deliver actionable insights.
Having spent more than a decade in delivery, he knows how dynamic the data in the real world can be. Though selection and training of models are important, he pays attentions to the potential operational scenarios when designing pipelines. Derek is very passionate in understanding business challenges and finding practical solutions through the correct selection and application of data science techniques. His industry expertise includes banking, energy/utilities, manufacturing, natural resources, public sector, retail, supply chain and transportation.
Currently, he leads a team of data scientists in the IBM Data Science and AI Elite, working primarily on helping clients in the Asia Pacific region, on their data science journeys. Between client engagements, he spends time advocating and evangelising data science through talks, meet-ups and blogs. His technical skills include modelling tools: IBM Cloud Pak for Data, IBM Watson Studio, IBM CPLEX, IBM SPSS Modeller and open source packages (Scikit-learn, SimPy, SciPy), and programming languages: Python, Java, R, .Net and C++.