Name: PyData Rhein-Main - Forecasting & Testing
Start: 2024-12-03T17:30:00+01:00
End: 2024-12-03T20:30:00+01:00

DataScience and AI: in person in Darmstadt and live on PyData.TV on YouTube

**Agenda**
17:30 Doors open
18:00 Welcome
18:15 **Boosting Time Series Accuracy: The Power of Ensemble Methods** - **Robert Haase (Paretos)**
18:45 Break: Networking with snacks and beverages
19:45 **Unleashing Confidence in SQL Development through Unit Testing -** **Tobias Lampert (Lotum)**
20:15 Lightning Talks
20:30 Networking with snacks and beverages
21:00 End

**🙋‍♂️ Questions to the presenters**:
Please [go to here to submit questions to the speakers](https://bit.ly/PYDATA2412).

**🍿 How to join remotely**
Use **Zoom** to join the meeting remotely.
We use Zoom interact with our remote partiocpants.
The presentations are streamed to **YouTube** (not **Zoom**).
Talk #1 [watch here](https://www.youtube.com/live/Gp8E7OCyx_M)
Talk #2 [watch here](https://www.youtube.com/live/GhN-DT5vAes?si=t2VT2Im4vfHm_2XL)
Please [go to here to submit questions to the speakers](https://bit.ly/PYDATA2412).

**⚡️ Lightning Talks**
Feel free to submit a [proposal](https://bit.ly/talk-at-pydata-rm)

**How to sign up for on site**
It's important for us to make this meet up happen in a responsible way. We have limited seats available only.
**No limits to sign up remotely!**

This event will be in English.

\-\-\-\-

Talk #1
**Boosting Time Series Accuracy: The Power of Ensemble Methods** - **Robert Haase (Paretos)**
This talk explores the practical application of ensemble methods in time series analysis, based on Robert’s extensive experience at Pareto. It covers various ensembling approaches, highlighting their effectiveness in different real-world scenarios. Attendees will gain insights into which methods perform best in practice, supported by behind-the-scenes examples of successful implementations. The session provides valuable strategies for improving predictive accuracy, making it ideal for anyone looking to leverage ensemble techniques in their time series projects.
**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.

Talk #2
**Unleashing Confidence in SQL Development through Unit Testing -** **Tobias Lampert (Lotum)**
As data-driven applications grow, robust SQL development practices are crucial. This talk explores the challenges of maintaining complex SQL models in Data Warehouses and highlights the importance of unit testing in ensuring data quality. Attendees will learn how SQL unit testing validates modeling logic, prevents breaking changes, and supports faster deployment cycles. The session features Lotum’s Python-based SQL unit testing framework for BigQuery, which processes millions of daily events from mobile games. Discover how using small, static mock data simplifies testing and helps identify code errors efficiently.

**Tobias Lampert** is an experienced technical leader with expertise in Data Science and Data Engineering. With over 20 years of experience, he has designed and implemented data-intensive applications end-to-end, covering everything from data ingestion to deployment. He has developed solutions that generate insights from data using statistical analysis and machine learning. His passion lies in building user-friendly, high-performance, and cost-efficient data platforms.
\-\-\-\-
**Acknowledgements**
Also a big thank you to our partners:

* [Hessian.AI](https://hessian.ai/), for hosting the meetup.
* [PIONEERS HUB](https://pioneershub.de), for organising.

**Contact**
If you have any questions or suggestions, please feel free to contact us via:

* Meetup
* Want to speak? [Submit a talk here](https://bit.ly/talk-at-pydata-rm).
* Interested in hosting an event? Here's our [Info-Deck](https://bit.ly/pydata-sw-infodeck) & [contact to the organisers](https://www.linkedin.com/groups/12851256/)!

Jurik Sommer

Alexander C. S. Hendorf

Anna Tentscher

Simon Schampijer

PyData Rhein-Main - Artificial Intelligence in Python

PyData

Pioneers Hub

Hessian AI

KPMG AG Wirtschaftsprüfungsgesellschaft

Denic eG

FactSet

Room, drinks & snacks. Talks & workshops.

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Artificial Intelligence

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Python

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Natural Language Processing

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Big Data

Deep Learning

Data Science using Python

PyData Rhein-Main - Forecasting & Testing

S1 I 03 Altes Hauptgebäude TU Darmstadt · Raum 121

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