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Contact

kaushika.k@sliit.lk

Ms. Kaushika Kavindi

Assistant Lecturer

Faculty of Computing | Information Technology

Career Summary

  • Assistant Lecturer at SLIIT (February 2023 - Present)
  • Assistant Industrial Placement at SLIIT,Department of Information Technology(October 2022 - July 2023)
  • Former Academic Instructor at SLIIT, Department of Information Technology (September 2022 - February 2023)
  • Former Trainee Software Engineer at Aasa IT Solutions (June 2020 –December 2020)
  • Former Audit Trainee - Sunil Gamage & Company, Wadduwa (January 2017-August 2017)

ACADEMIC QUALIFICATIONS

  • B.Sc. (Hons.) In Information Technology &  Management (Second Class - Upper Division)- Faculty of Information Technology, University of Moratuwa (September 2017 - June 2022)
  • Diploma in Accounting and Business - The Association of Accounting Technicians of Sri Lanka
  • Chartered Accountancy Course-Institute of Chartered Accountants of Sri Lanka - (Executive level completed)
  • Certificate Programme in Teaching Methodology in Higher Education - (Expected Completion: August 2024)

HONOURS AND AWARDS

  • Best Paper Award at 7th International Conference in Information Technology Research(December 2022)

Research Interests and Memberships

Research Interests

  • Information Technology
  • Financial Management
  • Web Technologies
  • Database
  • Human Computer Interaction

Memberships

Ongoing Research

My Publications

Conference Proceedings

  • Chathurya Bombuwala,Kaushika Kahatapitiya,Ravindi Kumaranayaka,Shakthi Weerasinghe,Upeksha Ganegoda,Isuru Manawadu   Event Driven Share Price Forecasting based on Change based Impact Analysis  in 2022 7th International Conference on Information Technology Research (ICITR),  year 2022,  University of Moratuwa,  pp.6,  ieee,    Chathurya Bombuwala,Kaushika Kahatapitiya,Ravindi Kumaranayaka,Shakthi Weerasinghe,Upeksha Ganegoda,Isuru Manawadu,  
  • Chathurya Bombuwala,Kaushika Kahatapitiya,Ravindi Kumaranayaka,Shakthi Weerasinghe,Upeksha Ganegoda,Isuru Manawadu   Architecting an event-driven forecasting model for stock market variations  in IEEE International Conference on E-Business Engineering (ICEBE) 2022,  year 2022,  Bournemouth, England,  pp.6,      Chathurya Bombuwala,Kaushika Kahatapitiya,Ravindi Kumaranayaka,Shakthi Weerasinghe,Upeksha Ganegoda,Isuru Manawadu,  

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