Emirhan Burhan Büyükkurt

• Working on developing machine learning model to detect default probability of the each company given their financial information.
• Working on detailed financial analysis of clients to assign optimal l limit decision.
• Established strong client relationships which is around 30.

• Worked on Invoice paid status prediction project, in which %93 percent accuracy succeeded, and on implementation process among 13 countries
• Prediction model for credit risk score of customers in implementation process.
• Worked on creating PD, LGD, and EAD models using past data.
• Have consistently and successfully met short and long-term targets.

Deep learning methods used to predict inflation then game theory approach used to reverse engineer to find out the effect of various components affecting inflation. 85% percent accuracy is acquired. This research is conducted under th supervision of Mustafa Eray Yücel.

Virtual HSBC programe, online introduction to banking lectures. At the end, a group project called ' Data and information visualization with machine learning' is conducted and presented to senior managers

Established a webpage with group members to inform investors on feasibility of the each city in terms of energy production. (http://www.akillisurdurulebilirlik.com/?p=11)

Virtual Data Science Internship.

Full Scholarship Student

Full Scholarship Student