A solid academic foundation complemented by continuous professional learning.
Four-year undergraduate programme with core studies in pure and applied mathematics, statistics, probability theory, numerical methods and mathematical modelling. The degree built the analytical foundation that underpins all my data science and programming work.
Completed the six-year secondary education programme with distinction in mathematics, chemistry and further mathematics. Developed early passion for logical problem-solving and quantitative reasoning.
Completed primary school education with distinction, laying the foundation in numeracy and literacy that would later fuel a career in data and technology.
Ongoing self-development through Udemy, GreatLearning, Coursera, DataCamp, Kaggle competitions, YouTube, LinkedIn Learning and hands-on project builds. Consistently staying current with AI/ML research, new data tools and evolving best practices in software engineering.
Industry-recognised certifications validating expertise across data, analytics and technology.