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Conferences / PyData

PyData Berlin 2025

Sep 1–3, 2025 · bcc Berlin Congress Center, Berlin, Germany

Conference
PyData Data science & ML
Dates
Sep 1, 2025 – Sep 3, 2025
Venue
bcc Berlin Congress Center
Place
Berlin, Germany
Format
Hybrid
Status
Past
Attendance
—
Homepage: "up to 500 attendees" (capacity statement, not a reported headcount).
Website
pydata.org
Recorded
11 sponsors · 58 speaker appearances
Notes
Standalone PyData Berlin, revived in 2025 and organized by Pioneers Hub gGmbH; separate from PyCon DE & PyData, which moved to Darmstadt in 2025. Remote passes were sold, so recorded as hybrid. GetYourGuide is shown at the top of the sponsor wall without a tier label. Speakers: full list from the pretalx schedule export; affiliations parsed from pretalx speaker bios (null where the bio states no clear current employer/institution).

Ticket prices

TicketPriceValid untilNotesSource
Remote Conference Pass - Community€90—Onlinepydata.org
Remote Conference Pass - Business€190—Onlinepydata.org
Conference Pass - Community€390—Reduced pass for students, researchers, hobbyistspydata.org
Late Bird Conference Pass - Community€490—pydata.org
Conference Pass - Business€590—pydata.org
Late Bird Conference Pass - Business€790—pydata.org

Sponsors 11

Platinum 2

Silver 4

Other 4

Unspecified tier 1

Speakers and talks 58

SpeakerCompanyRoleTalkLinks
Andy Kitchen—KeynotePyData 2077: a data science future retrospectiveVideo
Jessica GreeneEcosiaKeynoteMaintainers of the Future: Code, Culture, and Everything AfterVideo
Laura SummersPydanticKeynotePyData 2077: a data science future retrospectiveVideo
Marco GorelliQuansightKeynoteNarwhals: enabling universal dataframe supportVideo
Adrin JalaliProbablTalkThe EU AI Act: Unveiling Lesser-Known Aspects, Implementation Entities, and ExemptionsVideo
Alexander CS Hendorf—TalkHow We Automate Chaos: Agentic AI and Community Ops at PyCon DE & PyDataVideo
Alexandre AndorraLearnBayesStats PodcastTutorialA Beginner's Guide to State Space ModelingVideo
Alina DallmannscieneersTalkOne API to Rule Them All? LiteLLM in ProductionVideo
Ansgar GrüneGetYourGuideTalkFrom Manual to LLMs: Scaling Product CategorizationVideo
Avik Basu—TalkBeyond the Black Box: Interpreting ML models with SHAPVideo
Bilge YüceldeepsetTalkMost AI Agents Are Useless. Let’s Fix ThatVideo
Cainã Max Couto da Silva—TutorialBuilding an AI Agent for Natural Language to SQL Query Execution on Live DatabasesVideo
Carlos Trujillo—TalkRisk Budget Optimization for Causal Mix ModelsVideo
Chang SheLanceDBTutorialAI-Ready Data in Action: Powering Smarter AgentsVideo
Christian Geier—TalkScaling Python: An End-to-End ML Pipeline for ISS Anomaly Detection with Kubeflow and MLFlowVideo
Christoph AuerKnowledgeTalkDocling: Get your documents ready for gen AIVideo
Christoph ScheuchHumboldt University of BerlinTalkBuilding Reactive Data Apps with Shinylive and WebAssemblyVideo
Danial SenejohnnyABN AMROTalkCausal Inference in Network Structures: Lessons learned From Financial ServicesVideo
Dat TranDATANOMIQTalkFlying Beyond Keywords: Our Aviation Semantic Search JourneyVideo
Dennis SchmidtBeamsTalkFlying Beyond Keywords: Our Aviation Semantic Search JourneyVideo
Dr. Juan Orduz—TalkScaling Probabilistic Models with Variational InferenceVideo
Dr. Kristian Rother—TutorialProbably Fun: Games to teach Machine LearningVideo
Eugen Geist—TalkWhen Postgres is enough: solving document storage, pub/sub and distributed queues without more toolsVideo
Fabrizio Damicelli—TalkKubeflow pipelines meet uvVideo
Ferdinand SchenckLiveEOTalkSpot the difference: 🕵️ using foundation models to monitor for change with satellite imagery 🛰️Video
Florian KönigCODE BerlinTalkScraping urban mobility: analysis of Berlin carsharingVideo
Gergely Daroczi—TalkBenchmarking 2000+ Cloud Servers for GBM Model Training and LLM Inference SpeedVideo
Giampaolo CasollaGetYourGuideTalkFrom Manual to LLMs: Scaling Product CategorizationVideo
Iryna KondrashchenkoDataForce Solutions GmbHTalkBeyond Benchmarks: Practical Evaluation Strategies for Compound AI SystemsVideo
Jacek Golebiowski—SponsorTraining Specialized Language Models with Less Data: An End-to-End Practical GuideVideo
Jeroen JanssensPositTalkThe Importance and Elegance of Polars ExpressionsVideo
Jérôme Petazzoni—TalkData science in containers: the good, the bad, and the uglyVideo
Jesse GrabowskiParis 1 Pantheon-SorbonneTutorialA Beginner's Guide to State Space ModelingVideo
Johannes Kolbe—TalkEdge of Intelligence: The State of AI in BrowsersVideo
Johannes Schöck—TalkTemplate-based web app and deployment pipeline at an enterprise-ready level on AzureSlidesVideo
Konrad Richter—TalkDemocratizing Experimentation: How GetYourGuide Built a Flexible and Scalable A/B Testing PlatformVideo
Laura DumontOwkinTalkNavigating healthcare scientific knowledge:building AI agents for accurate biomedical data retrievalVideo
Marco VeneGetYourGuideSponsorAutomating Content Creation with LLMs: A Journey from Manual to AI-Driven ExcellenceVideo
Maria KnorpsModus CreateTutorialSee only what you are allowed to see: Fine-Grained AuthorizationVideo
Maris Nieuwenhuis—TalkAccessible Data VisualizationsVideo
Matthias OrlowskiBayerTalkExploring Millions of High-dimensional Datapoints in the Browser for Early Drug DiscoveryVideo
Maxime LiquetAnacondaTalkBetter docs, happier users: What we learned applying Diataxis to HoloViz librariesVideo
Mehdi Ouazza—TutorialMore than DataFrames: Data Pipelines with the Swiss Army Knife DuckDBVideo
Michele DolfiKnowledgeTalkDocling: Get your documents ready for gen AIVideo
Nathaniel Forde—TalkConsumer Choice Models with PyMC MarketingVideo
Oleh Kostromin—TalkBeyond Benchmarks: Practical Evaluation Strategies for Compound AI SystemsVideo
Orell Garten—TalkForget the Cloud: Building Lean Batch Pipelines from TCP Streams with Python and DuckDBVideo
Pawel Herman—TalkHow Digital David Wins Against Data Goliaths—
Shreyaasri Prakash—TutorialProbably Fun: Games to teach Machine LearningVideo
Tim TenckhoffNetlightTalkExploring Millions of High-dimensional Datapoints in the Browser for Early Drug DiscoveryVideo
Tobias HannMOSTLY AITutorialDeep Dive into the Synthetic Data SDKVideo
Tobias LampertLotumTalkBye-Bye Query Spaghetti: Write Queries You'll Actually Understand Using Pipelined SQL SyntaxVideo
Veit Schielecusy GmbHTalkDemocratizing Digital Maps: How Protomaps Changes the GameVideo
Vinayak Nair—Talk🛰️➡️🧑‍💻: Streamlining Satellite Data for Analysis-Ready OutputsVideo
Violetta MishechkinadltHubTutorialAI-Ready Data in Action: Powering Smarter AgentsVideo
Wessel van de GoorLotumTalkBuilding an A/B Testing Framework with NiceGUIVideo
Yaseen Esmaeelpour—TalkBeyond Linear Funnels: Visualizing Conditional User Journeys with PythonVideo
Yashasvi MisraPure StorageTalkWhat’s Really Going On in Your Model? A Python Guide to Explainable AIVideo

Sources