Tuba enjoys telling data-driven stories and designing analytical solutions to solve complex business problems in simple, creative and effective ways.

She is specialised in machine learning, deep learning, forecasting and text analytics. As an analytics consultant, she had the opportunity to implement interesting projects across various industries including rogue trader fraud detection in capital markets, smart metering analytics in utilities, patient segmentation and readmission prediction in healthcare, credit risk in banking, churn prediction in telecom, rate making in insurance and demand forecasting in retail. Working at SAS, she also enjoys discussing the goodness of using SAS in an open ecosystem.

Before joining SAS, she worked on the development of speech recognition and language identification projects at the National Research Institute of Turkey. She has an electrical and electronics engineering background and holds a master’s degree on digital signal processing.