Ms. Shehani Wijayawardena

Lecturer | Department of Information Management | SLIIT Business School

CAREER SUMMARY

Shehani Wijayawardena began her professional career as a Technical Business Analyst, gaining experience in requirements elicitation, process modelling, functional documentation, and system validation for enterprise applications.

She later moved to Australia to pursue postgraduate studies in Business Analytics while gaining professional experience as a Data Analyst. Her work involved data analysis, analytical modelling, data validation and the development of Business Intelligence dashboards to support data driven decision making. During this period, she also gained experience in tutoring undergraduate and postgraduate students.

Alongside her industry experience, she has been actively involved in academic research in areas including Business Analytics, Artificial Intelligence (AI), Machine Learning (ML), Business Intelligence and Decision Support Systems. Following the completion of her Master of Business Analytics with Distinction, she transitioned into academia as a Lecturer, bringing together her experience in technical business analysis, data analytics, teaching and research.

ACADEMIC QUALIFICATIONS

  • Master of Business Analytics (with Distinction)
    The University of Western Australia, Australia

  • Bachelor of Science (Honours) in Information Technology, specialising in Information Systems Engineering
    Sri Lanka Institute of Information Technology

  • Certificate Course in Human Resource Management, Chartered Institute of Personnel Management (CIPM) Sri Lanka

 

HONOURS AND AWARDS

  • Graduated with Distinction, Master of Business Analytics, The University of Western Australia, 2025

RESEARCH INTERESTS AND MEMBERSHIP

Research Interests

  • Business Analytics
  • Business Intelligence and Data Visualization
  • Predictive Analytics and Forecasting
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Decision Support Systems
  • Data Driven Decision Making
  • Information Systems
  • Internet of Things (IoT) and Data Analytics
  • Behavioural and Applied Business Analytics

Memberships

  • Member, The University Club of Western Australia, The University of Western Australia

RESEARCH AREAS

  • Smart Systems
  • Industrial IoT
  • Machine Learning
  • Business Intelligence and Analytics
  • Big Data
  • Decision support systems

ONGOING RESEARCH

  • Migration Dynamics and Determinants of Per Capita Net Migration (PNM), examining host and source country factors using panel data models with a focus on post-pandemic migration patterns.
  • Data-Driven Decision Support and Predictive Analytics, with an emphasis on applying Business Analytics and statistical modelling to support organisational and policy decision making.
  • Assessing the Impact of Proximity to Dedicated Economic Centres on Individual Income Levels

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