Name: 🎄 PyData Berlin 2025 December Meetup 🎄
Start: 2025-12-10T18:00:00+01:00
End: 2025-12-10T21:00:00+01:00
Location: Ampere Garden

Welcome to the PyData Berlin December meetup! 🎅

We would like to welcome you all starting from 18:00. There will be food and drinks. The talks begin around 18.30 and the doors will close at 18:45. **Make sure to arrive on time!**

Please provide your first and last name for the registration because this is required for the venue's entry policy. If you cannot attend, please cancel your spot so others are able to join as the space is limited.

**Host**:
**GetYourGuide** is excited to welcome you to this month's version of PyData.
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The Lineup for the evening

**Talk 1: A Deep Dive into Program Synthesis: Generating Logic from Examples**
**Abstract**: Program Synthesis (PS) is the task of automatically generating logical procedures or source code from a small set of input-output examples. While LLMs and agents dominate current AI conversations, they often struggle with these kinds of precise reasoning tasks—where smaller, well-structured models for PS can succeed. In this talk, we’ll walk through the end-to-end development of an PS system, covering dataset representation using graph structures, model architectures, and tree search algorithms. The working example for this talk is the generation of procedural textures for 3D modeling, but the methodology is domain-agnostic. Participants will leave with a deeper understanding of PS, its real-world potential, and the trade-offs between different architectural approaches. The session is designed for practitioners with a solid understanding of ML concepts and some familiarity with NN architectures such as transformers and CNNs.
**Bio**: He is a freelance consultant specializing in AI-driven solutions with deep expertise in NLP. His work focuses on addressing the limitations of generative AI and developing interpretable, practical frameworks for real-world NLP and image processing. Most recently, he has been building domain-agnostic logic and code-generation systems that combine transformer models with tree-search methods for program synthesis.

Previously, he worked as a principal data scientist and algorithms developer, focusing on NLP and time-series forecasting for supply chains, and contributed to improving Facebook’s Prophet library by enhancing its runtime performance using Bayesian techniques.

**Talk 2: TBA**
**Abstract**: TBA
Bio:TBA

**Lightning talks**
There will be slots for 2-3 Lightning Talks (3-5 Minutes for each) between the two main talks.
Kindly let us know if you would like to present something :)

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Carolina Shimabukuro

Valentina

Theodore Meynard

Daniel Ringler

Francesco Bruzzesi

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🎄 PyData Berlin 2025 December Meetup 🎄

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🎄 PyData Berlin 2025 December Meetup 🎄

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