Sanduni Amalage

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.

  • 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

  • Conference Papers

    Year Citation
    2017 Dhammage, M., Amalage, S., & Linosh, E. (2017). Together: Peace Building through Social Networking. In VCIRS 2017. Pampeimadu.

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