I’m passionate about mathematics, data science, and programming. My other interests include
research and teaching. Moreover, I like traveling, meeting new people, and exploring new places to have novel experiences.
I’m also a great chess player.
I'm working as a full-time Teaching Assistant (TA) at the Department of Information and Computer Sciences, University of Hawaii at Manoa, HI, USA. I was the TA for ICS 332: Operating Systems, and ICS 451: Data Networks for Fall 2022. Currently, I'm assigned to ICS 355: Security and Trust I and ICS 332: Operating Systems for Spring 2023. I assist in grading assignments, and teaching in these courses.
I’m working as a lecturer on contract at Department of Computer Engineering, Faculty of Engineering, University of Peradeniya. The courses I’m involved in are Computer Communication Networks, Embedded Systems, Image Processing, and Network & Web Application Design. I help with tutorial classes, student discussions, and lab work.
I worked as a Temporary Instructor (TA) at the Department of Computer Engineering, Faculty of Engineering, University of Peradeniya. Some courses that I helped with include Computer Architecture, Advanced Computer Communication Networks, and Computing course for Freshman. Further, I was the Instructor in Charge (IIC) of a few courses mentioned above. I assisted in quiz and lab preparation, grading of labs, and lab review sessions.
I worked as a Trainee Associate Software Engineer at Zone24x7 (Pvt) Ltd, Sri Jayawardenepura. I was a member of the Big Data and Data Science team. The projects that I worked on include a R&D project named log machine learning and a production project named video machine learning. Log Machine learning project analyzed log files of a large retail chain company based in the United States to predict errors beforehand. Video machine learning project involved analysis of video feeds of that company to detect anomaly customer counts.
Indika, Amila, Nethmal Warusamana, Erantha Welikala, and Sampath Deegalla. "Ensemble Stock Market Prediction using SVM, LSTM, and Linear Regression." (2021). DOI:
10.36227/techrxiv.16626019(Best Paper Award) S. Jayasundara, A. Indika and D. Herath, "Interpretable Student Performance Prediction Using Explainable Boosting Machine for Multi-Class Classification," 2022 2nd International Conference on Advanced Research in Computing (ICARC), 2022, pp. 391-396, DOI:
10.1109/ICARC54489.2022.9753867N. Warusamana, A. Indika, E. Welikala, S. Deegalla, “Stock Market Prediction using SVM, LSTM, and Linear Regression”, ESCaPe 2020 Project Symposium, pp. 21
https://ESCaPE-2020-Proceedings/Currently, I’m engaged in following research project/s.
I'm pursuing an M.Sc. in Computer Science from Department of Information and Computer Sciences, University of Hawaii at Manoa, Hawaii (CGPA: 4.00/4.00).
I graduated as a Bachelor of the Science of Engineering specialized in Computer Engineering with First Class Honours (GPA: 3.85/4.00).
I attended Maliyadeva College from Grade 12 to Grade 13 for my Advanced Level Education.
I attended Kegalu Vidyalaya from Grade 1 to Grade 11 during my Ordinary Level Education.
