Suat Tuncer

Suat Tuncer is a skilled data scientist currently employed at Borusan Otomotiv, where responsibilities include developing a recommendation engine that improved user interactions by 15% and creating custom algorithms, resulting in substantial cost savings. Prior experience at ICRYPEX Crypto Exchange involved gathering data from various sources and constructing machine learning pipelines for forecasting, while ensemble models and deep learning techniques were implemented to enhance prediction accuracy. At Autorola Türkiye, data analysis was performed using SQL Workbench on AWS, and insights were delivered through Power BI to boost sales performance. Suat's educational background includes a Master's degree in Big Data Analytics from MEF University and an earlier degree from Yeditepe University.