Enes Baran Yasar Email & Phone Number

Berlin, De

Berlin, Almanya

•Developing and implementing machine learning models to detect and prevent payment fraud in real-time for the entire Europe,Asia and South America region.• Calculating the incremental impact of payment products on customer spending using machine learning.• Utilizing various algorithms and statistical techniques to analyze transaction data and identify suspicious patterns.• Collaborating with data engineers and MLengineers to integrate machine learning models into the payment processing system.• Implementing monitoring systems to track model performance and identify anomalies or degradation in accuracy.

İstanbul, Türkiye

• ARIMA time series modeling for ATM idle cash.Model provided %46 decrease in idle cash than older methods.• Making time series forecasts for new credit card applications by using ensembling for the next 6 months to determine card inventories.• Predicting number of employees assigned to branches by workforce optimization and machine learning methods.• Responsible of all machine learning related tasks and its implementations.• Building data oriented culture within business units and teaching ML tasks to businessstakeholders.

Istanbul, Turkey

- Follow literature and take initiatives on Payment Systems Analytics cases by testing hypotheses and using Machine Learning algorithms to find patterns.- Building propensity to buy models for banking products to increase efficiency of Telemarketing. Models perform about %10 better by this models.- Building churn model for credit card customers to determine the drivers and keep them as a customer. Churn rate of %8 decreased to %3 by this study.-Present and visualize actionable analysis and reporting to business leaders.-Building income models for different segment of customers to provide better credit and campaign offers.

Bachelor'S Degree, Industrial Engineering

Master Of Science - Ms, Data Science