Niyaz Orazbayev is a Lead Data Scientist at Travelier, contributing to projects focused on marketing campaign optimization, fraud detection, support optimization using LLMs, and RPA web booking bots. Previously, Niyaz served as a Machine Learning Engineer at Scholabot, developing a math question difficulty classifier using BERT. As a Data Scientist at KPMG Caspian, Niyaz achieved a high F1 score in employee churn prediction and engaged in tender classification. At Bank CenterCredit, Niyaz developed a machine learning fraud detection model and created an interactive web application for transaction visualization. Niyaz holds a Bachelor of Applied Science in Mathematics from Kazakh-British Technical University.
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