Travelier
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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Travelier
When you book a flight or a hotel, you know exactly what’s in store. As for booking rides on the journey, no such luck. There are long lines to contend with, confusing ferry schedules, old buses with springs popping out of the seats. It’s enough to make you wish you’d just get to your destination. Along comes Travelier. The company that channels passion for all things travel by bridging local transportation providers with modern, tech-savvy travelers. Travelier is the seamless way to book any mode of transportation across the globe with 5 global online brands serving over 120 countries worldwide.