Speakers

Anastasiya Deineko
Anastasiya Deineko, ML Architect at OX Company. Associated Professor, Ph. D., Associated Professor at IT Step University. Machine Learning Researcher. Computer Vision and Time Series forecasting background.

«How to survive the Titanic?» This shot workshop is intended to provide You with knowledge of basics in Statistic, Machine Learning, Data Mining with the usage of state-of-the-art models such that Decision Tree and Random Forest for classification task. Target audience: 1+ month experience in Python; Intermediate English. Learning outcomes: Basic understanding of Machine Learning; Hands-on experience with the state-of-the-art models Decision Tree and Random Forest.

Bulka Ivan
Bulka Ivan, LNU, Senior Data Scientist / Deep Learning Engineer

Dutsiak Oleh
Dutsiak Oleh, LNU, Senior Software Engineer

Yakubovych Maksym
Yakubovych Maksym, LNU, Engineering Manager, GlobalLogic

We'll run through the overview of the DB basics, ways to operate with, and main use cases. In a nutshell we will cover how relational databases organize structured data, how NoSQL databases handle unstructured data, and the benefits of distributed databases for scalability and fault tolerance.

Iryna Mysiuk
Iryna Mysiuk, LNU, Senior Software Test Automation Engineer at EPAM

Yurii Tsudzenko
Yurii Tsudzenko, LNU, Data Quality Engineer, Node.js Developer, DevOps

Ihor Drozdov
Ihor Drozdov, LNU, Lead .Net Engineer

Mykola Stasiuk
Mykola Stasiuk, LNU, Senior Software Engineer, GlobalLogic

Oleh Sihunov
Oleh Sihunov, LNU, Java Software Engineer, Amazon Web Services and Big Data in AWS

Markiyan Fostiak
Markiyan Fostiak, Software Engineering Lead

Ihor Rohatskyi
Ihor Rohatskyi, LNU,  Engineering Director, GlobalLogic

Vitalii Pretsel
Vitalii Pretsel, LNU, Software Engineer at Leobit