Track2: Analytics Innovation

Predicting the Future: Mastering Time Series Forecasting with State-of-the-Art Models

Dive into the fascinating world of Time Series Forecasting in this hands-on workshop.

Learn how to apply advanced forecasting techniques using state-of-the-art machine learning models to predict and analyze trends over time on real-world data through engaging and interactive exercises. This workshop is an invaluable asset for anyone looking to master the art of forecasting and drive data-informed decision-making.

Learning goal

Participants will gain practical experience in identifying key components and patterns in time series data, using advanced models and industry-leading tools to create forecasts on real-world data and techniques to evaluate and improve the forecast accuracy.

Pre-requisites

Basic familiarity with Python is required. Experience with Pandas, Matplotlib and/or Numpy libraries is a plus.

  • Ilias Panagiotaras

    Ilias received his M.Eng. in Electrical and Computer Engineering from the National Technical University of Athens. He has extensive experience in AI and a demonstrated history of working on various data architectures and cloud platforms in the retail, legal and telecommunications industries. Ilias has been with the team since 2022.

  • Ileanna Sotiropoulou

    Ileanna holds a MEng in Electrical & Computer Engineering from the Technical University of Crete. She is a highly skilled and adaptable Data Scientist with a strong background in mathematical modelling, machine learning and data Engineering. Before joining D ONE, she worked as a R&D AI Engineer / Data scientist in the field of Information and Communication Technology.