Current Work

I am currently working at ING Bank Turkey as a business analyst. My unit is responsible for Payment Systems which includes POS Terminals, Credit and ATM Cards. As a business analyst I participate in business analysis and project planning phases. In addition coordinating software development teams and conducting user acceptance tests are among my responsibilities.

RStudio Conference

There is a presentation about Storytelling with R on 2018 Conference. Although it is not a perfect material, it does emphasize the importance of being understand. Findings of a work, data analysis in our case, may not mean anything unless you present it in a simple way. Visualization and storytelling also an important topic in Data Science.

There are 2 good readings to understand how to use data analtyics in banking. They do not mention about the techincal side of data analtyics. However, it is important to considering value before getting into technical work.
- Analytics in banking: Time to realize the value
- Five New Opportunities in Credit Card Analytics
An example study on customer churn using telecommunications industry data can be helpful for me to understand and apply the same on credit card customers. Also there is an academic article on credit card customer churn. Although it is not a recent study, the article can help me to understand how to process this kind of data.
- Telecommunication Churn
- Predicting credit card customer churn in banks using data mining
Using R to analyze data in R is one thing presenting our findings is another thing. In order to conclude our work on data, we have to find ways to explain it. And there is no better option than using graphs. This article explains when to use which graph and how to use them in R.
- 7 Visualizations You Should Learn in R