
Sanduni Amalage
Adelaide Medical School
Faculty of Health and Medical Sciences
I am a Data Scientist with over six years of experience delivering end-to-end machine learning solutions across health research, retail, banking and telecommunications. My expertise spans machine learning model development, data analytics, and the design of data pipelines and dashboards. I have worked extensively on productionising machine learning workflows, maintaining scalable models, and building generative AI tools. In my current academic role, I contribute to research in primary care by analysing electronic health record (EHR) data and conducting feasibility studies to explore machine learning applications in general practice. My work integrates AI and health informatics, with a focus on using real-world data to inform future predictive modelling and decision support systems in primary healthcare. I have also authored technical documentation, reviewed production code, and collaborated closely with multidisciplinary teams to ensure sustainable AI practices in complex data environments.
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Appointments
Date Position Institution name 2024 - ongoing Data Scientist University of Adelaide 2022 - 2024 Machine Learning Engineer Octave – John Keells Holdings PLC 2021 - 2022 Business Intelligence Engineer London Stock Exchange Group 2021 - 2021 Specialist DFCC Bank 2018 - 2020 Analyst KMPG -
Language Competencies
Language Competency English Can read, write and speak Sinhala; Sinhalese Can read, write and speak -
Education
Date Institution name Country Title 2021 - 2025 University of Moratuwa Sri Lanka MSc in Artificial Intelligence 2015 - 2018 University of Jaffna Sri Lanka BSc in Applied Mathematics and Computing -
Research Interests
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Conference Papers
Year Citation 2017 Dhammage, M., Amalage, S., & Linosh, E. (2017). Together: Peace Building through Social Networking. In VCIRS 2017. Pampeimadu.
Connect With Me
External Profiles