Beyond Toy Datasets: Timeseries Forecasting for Real Business Problems - Robert Haase

Recorded live at the PyData Südwest Meetup on 22. August 2023.
Robert Haase (AI Scientist @ paretos)
Beyond Toy Datasets: Timeseries Forecasting for Real Business Problems - Common Pitfalls and (Some) Solutions
Real-life timeseries datasets e.g. from retailer or logistic companies often come with high complexity such as a high level of sparsity and heterogenity as well as most of the times it is highly imbalanced and driven by external factors. In this talk Robert will give an overview of what are the common pitfalls when working with real-life data in a timeseries context and provide a set of possible solutions to turn these projects into a success-story.
Robert earned both his Bachelor's and Master's degrees in Physics from the University of Heidelberg, specializing in Condensed Matter Physics and Computational Physics. During his Master's thesis in 2020, he advanced existing NLP Transformer architectures for timeseries applications. This involved Robert working extensively with uncertainty quantifications and normalizing flows. Since the beginning of 2021, he has been employed at Paretos, where the primary focus of his work lies in Timeseries Forecasting, specifically demand forecasting. Robert has a keen interest in combining traditional statistical methods with deep learning techniques.
Thanks to our sponsors:
paretos for hosting: www.paretos.co...
Königsweg for organising: www.koenigsweg...
PyData Südwest
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