I am Ömer Bayır. I have been working for Avivasa IT department as Business Intelligence Unit manager. Shortly, I am reponsible for managing data driven projects, system architecture and data architecture; budget and people management also included. My vision is develop myself and my company/my teams to use new methods other than traditional BI methods and techniques. Also, develop my company about how to find and refine/analyze big data.
Below, you can find 3 examples about R and how you can use it in Data Science and Insurance.
Mortality means life expectancy, can be used in insurance to predict pension or life risk risk prediction. In this video, you can find diffrent types of models to predict life expentancy. It introduce an R package how we use for the models. StMoMo package implements majortiy of sochastic mortality models.
The video below, you can find about R history and a lot more about how you use R.
Insurance pricing depends on predictions of a series of features. In this video tells us some algorithms suitable for insurance data. Explained technique uses R packages (data.table, hash, paralel, ggplot2 )