Python Forecasting Masterclass: From Basics to Foundation Models

Robert Kübler is a Senior Staff Data Scientist at ALDI Süd and a passionate advocate for machine learning, algorithms, and data-driven problem-solving. He studied Mathematics and completed a Ph.D. in Cryptanalysis.

As a scientific author with over 70 articles on Towards Data Science and 1M+ views, Dr Kübler has a proven track record of making complex topics accessible to diverse audiences.

He has years of experience mentoring data scientists and leading real-world projects—from recommender systems to marketing mix modeling.

Tobias Pitters holds a MSc in Physics and has worked as freelance consultant in the industry. He has worked in all things data, from data engineering, data science and machine learning engineering, he has developed wide scale AI workflows from zero to one.

He is passionate about open source and is the current maintainer of SHAP. Furthermore he has contributed to OpenAssistant, huggingface's datasets, pandas, polars, numpy, pydantic and pytorch.

Franz Király is director of the German Center for Open Source AI. He has 9 years experience as university professor at top tier universities, and 10 years of experience in industrial data science and AI roles, including 5 years at the Alan Turing institute - all of which included mentoring and teaching responsibilities. Dr Király is also the original founder and a core developer of sktime, the leading package for forecasting and AI with time series.

Mahdi Torabi Rad is a data scientist, engineer, mentor, and YouTube content creator with over 10 years of experience in developing machine-learning models. Dr Torabi Rad creates videos for his YouTube channel MLBoost to share his knowledge, insights, and passion for AI with a wider audience, with a focus on forecasting, optimization, and modelling of complex physical systems.