Kandrika Pritularga
Lecturer, PhD studentProfile
Kandrika graduated from MSc Operational Research and Management Science Lancaster University Management School in 2017. The degree covers quantitative methods to solve business problems, such as forecasting, stochastic modelling, and optimisation. His interest in quantitative business methods started when he studied Management (BSc) at Universitas Gadjah Mada Indonesia and graduated in 2015, especially in time series analysis, including econometrics and forecasting.
Currently, he is a lecturer in Management Science at Lancaster University Management School. His research interest is in healthcare and tourism forecasting. His current expertise is exploring forecasting models' uncertainties and connecting forecasts to decision-making processes.
Current Teaching
Teaching experiences:
- MSCI212 Statistics for Business
- MSCI217 Business Forecasting
- MNGT130 Introduction to Business Analytics
- MSCI331 Data Mining for Direct Marketing and Finance (supported by Datacamp)
- MSCI562 Intelligence Data Analysis and Visualisation (supported by Datacamp)
Research Interests
Business statistics, forecasting, exponential smoothing, parameter uncertainty, model uncertainty, vector models
- Centre for Health Futures
- Centre for Marketing Analytics & Forecasting