I am a Senior Lecturer in the Department of Statistics, Faculty of Applied Sciences at the University of Sri Jayewardenepura. I received my PhD in statistics from Monash University, Australia in 2019. My thesis advisors were Professor Rob J Hyndman and Professor George Athanasopoulos.
I am also an Associate Investigator of the Australian Research Council (ARC) Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).
I enjoy solving general data science problems from three different angles: theoretical, computational, applied. On this website you will find some of my work and interests in statistics and data analysis. My research focuses on developing new statistical machine learning tools to help both practitioners and theoreticians make more open, explainable and reproducible data-driven discoveries. I am also interested in R programming language.
Priyanga Dilini Talagala PhD in Statistics, Monash University, Australia is my sister.
PhD in Statistics, 2019
Monash University, Australia
MSc in Financial Mathematics, 2015
University of Moratuwa, Sri Lanka
BSc (Hons) Special Degree in Statistics, 2012
University of Sri Jayewardenepura, Sri Lanka
Professor R A Dayananda Gold Medalist and Batch first, 2012
tea: R package for tea exporting countries
mozzie: R package for dengue cases in Sri Lanka
colmozzie: R package for dengue cases and climate variables in Colombo Sri Lanka
DSjobtracker: R package containing information related to data science job advertisements. What skills and qualifications are required for data science related jobs?
MedLEA: The MedLEA package provides morphological and structural features of 471 medicinal plant leaves and 1099 leaf images of 31 species and 29-45 images per species.
seer: R package for feature-based time series forecasting.
tsfeatures: R package tsfeatures provides methods for extracting various features from time series data.
explainer: Take a peek inside a random forest.
tsdataleaks: R Package for detecting data leakages in time series forecasting competitions.
R-Ladies is a worldwide organization whose mission is to promote diversity in the R community.
Computationally efficient forecasting methods for large-scale real-time applications
The course website for my teaching unit STA 326 2.0 Programming and Data Analysis with R