Hi, I'm Suwani Gunasekara.
I’m a third-year PhD student in the Human–Computer Interaction Group at the University of Melbourne. My research focuses on the spread of misinformation on short-video platforms and explores how rich short-video design can help curb its dissemination.
I am supervised by A/Prof Jorge Goncalves, A/Prof Ryan M. Kelly and Prof Vassilis Kostakos.
Education
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PhD, Human–Computer Interaction
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Bachelor of Business Science (Hons)
Specialised in Business Analytics
Teaching Experience
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Head Tutor
INFO20004: Usability Evaluation Method
- Managed student email queries and coordinated with other tutors.
- Evaluated student assignments and projects.
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Academic Tutor
COMP10003: Media Computation
INFO20005: User Interface Development
- Delivered workshops.
- Managed student email queries and evaluated student assignments and projects.
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Academic Tutor
Optimisation and Decision Making
- Conducting tutorials for graduate students.
- Evaluated student assignments and projects.
Working Experience
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Business Analyst
London Stock Exchange Group (LSEG), Malabe, Sri Lanka
- Researching and Integrating data science aspects to the product portfolio of LSEG technology.
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Intern - Data Scientist
Acuity Knowledge Partners, Sri Lanka
Built a predictive model for stock market using news sentiments
- Scraped over 5000 news headlines from Sri Lankan newspapers using python libraries Beautiful Soup and Selenium.
- Using regular expressions and NLP text cleaning techniques the text data was cleaned.
- Text sentiment was quantified using python libraries Textblob, Vader and used the polarity score to predict the stock prices of the Colombo Stock Exchange.
Contact
Email me at suwani.gunasekara@gmail.com or find me on Google Scholar · LinkedIn · GitHub