Data Scientist at ING
Tugce is a Data scientist in the Non-Financial Risk Analytics team in ING Turkey for the last 2 years where she is developing and implementing anomaly detection and anti-money laundering models. She has a major in Mathematical Engineering, and she is having a master’s degree at the Ozyegin University on Data Science. She has experience in Information Technology. Her aim is transforming the traditional methods into an advanced one, using advanced analytics.
According to the report of The United Nations Office on Drugs and Crime (UNODC), the estimated annual amount of money laundered globally is 2-5% of global GDP ($800 billion-$2 trillion). Since the clandestine nature of money-laundering, it is difficult to estimate the total amount of the money laundering cycle. During this struggle, most of the […]