Theodore Meynard
Employers on the program
- 2022–2026GetYourGuide14 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- PyData
- EuroPython
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 10, 2026 | PyData Amsterdam 2026 | PyData | talk | Cold Start at Scale: Three Years of Experiments in a Travel Marketplace as GetYourGuide New items in a marketplace have no behavioral signals. Ranking models ignore them. | |
| Apr 14, 2026 | PyCon DE & PyData 2026 | PyData | talk | Solving Marketplace Cold Start at Scale with Ranking as GetYourGuide Cold start is a critical bottleneck for marketplaces: new items lack behavioral signals and reviews, so ranking models under-expose them, delaying the very…Show lessCold start is a critical bottleneck for marketplaces: new items lack behavioral signals and reviews, so ranking models under-expose them, delaying the very signals needed to rank them well. | |
| Jul 14, 2025 | EuroPython 2025 | EuroPython | talk | From Trees To Transformers: Adopting Deep Learning for Ranking as GetYourGuide GetYourGuide is a global online marketplace that helps travelers discover and book the best experiences. One of our core challenges is ensuring users always see…Show lessGetYourGuide is a global online marketplace that helps travelers discover and book the best experiences. One of our core challenges is ensuring users always see the most relevant activities first—a task historically powered by an XGBoost-based ranking system. | Video |
| Jun 6, 2025 | PyData London 2025 | PyData | talk | From Trees to Transformers: Our Journey Towards Deep Learning for Ranking as GetYourGuide GetYourGuide, a global marketplace for travel experiences, reached diminishing returns with its XGBoost-based ranking system. We switched to a Deep Learning…Show lessGetYourGuide, a global marketplace for travel experiences, reached diminishing returns with its XGBoost-based ranking system. We switched to a Deep Learning pipeline in just nine months, maintaining high throughput and low latency. | |
| Apr 23, 2025 | PyCon DE & PyData 2025 | PyData | talk | From Trees to Transformers: Our Journey Towards Deep Learning for Ranking as GetYourGuide GetYourGuide, a global marketplace for travel experiences, reached diminishing returns with its XGBoost-based ranking system. We switched to a Deep Learning…Show lessGetYourGuide, a global marketplace for travel experiences, reached diminishing returns with its XGBoost-based ranking system. We switched to a Deep Learning pipeline in just nine months, maintaining high throughput and low latency. | |
| Apr 23, 2025 | PyCon DE & PyData 2025 | PyData | talk | Switching from Data Scientist to Manager as GetYourGuide In this presentation, I will discuss my transition from a Data Scientist to a management role, covering key managerial responsibilities, preparation tips, and…Show lessIn this presentation, I will discuss my transition from a Data Scientist to a management role, covering key managerial responsibilities, preparation tips, and the pros and cons of the switch. | |
| Apr 22, 2024 | PyCon DE & PyData Berlin 2024 | PyData | talk | DDataflow: An open-source end-to-end testing framework for ML pipelines as GetYourGuide In the realm of machine learning, the complexity of data pipelines often hinders rapid experimentation and iteration. This talk will introduce DDataflow, an…Show lessIn the realm of machine learning, the complexity of data pipelines often hinders rapid experimentation and iteration. This talk will introduce DDataflow, an innovative open-source tool, designed to facilitate end-to-end testing in ML pipelines by leveraging decentralized data sampling. | |
| Jul 17, 2023 | EuroPython 2023 | EuroPython | talk | Test your data like you test your code as GetYourGuide I will introduce the concept of data unit tests and why they are important in the workflow of data scientists when building data products. | Video |
| Jun 2, 2023 | PyData London 2023 | PyData | tutorial | MLflow workshop as GetYourGuide In this tutorial, we will learn the basis of MLflow. After introducing the library and the problem it solved we will implement an end-to-end machine learning…Show lessIn this tutorial, we will learn the basis of MLflow. After introducing the library and the problem it solved we will implement an end-to-end machine learning lifecycle using MLflow. | |
| Jun 2, 2023 | PyData London 2023 | PyData | talk | MLOps in practice: our journey from batch to real-time inference as GetYourGuide I will present the challenges we encountered while migrating an ML model from batch to real-time predictions and how we handled them. | |
| Apr 17, 2023 | PyCon DE & PyData Berlin 2023 | PyData | talk | MLOps in practice: our journey from batch to real-time inference as GetYourGuide I will present the challenges we encountered while migrating an ML model from batch to real-time predictions and how we handled them. | |
| Apr 17, 2023 | PyCon DE & PyData Berlin 2023 | PyData | talk | Software Design Pattern for Data Science as GetYourGuide Even if every data science work is special, a lot can be learned from similar problems solved in the past. In this talk, I will share some specific software…Show lessEven if every data science work is special, a lot can be learned from similar problems solved in the past. In this talk, I will share some specific software design concepts that data scientists can use to build better data products. | |
| Jun 17, 2022 | PyData London 2022 | PyData | talk | Test your data like you test your code as GetYourGuide I will introduce the concept of data unit tests and why they are important in the workflow of data scientists when building data products. In this talk, you…Show lessI will introduce the concept of data unit tests and why they are important in the workflow of data scientists when building data products. In this talk, you will learn a new tool you can use to ensure the quality of the products you build. | |
| Apr 11, 2022 | PyCon DE & PyData Berlin 2022 | PyData | talk | What are data unit tests and why we need them as GetYourGuide This talk will introduce the concept of data unit tests and why they are important in the workflow of data scientists when building data products. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Cheuk Ting Ho | 10 | — | 2026 |
| Alexander CS Hendorf | 8 | — | 2026 |
| Valerio Maggio | 8 | — | 2026 |
| Ines Montani | 7 | — | 2026 |
| Florian Wilhelm | 6 | — | 2026 |
| Alejandro Saucedo | 5 | — | 2026 |
| Jannis Lübbe | 5 | — | 2026 |
| Paula Gonzalez Avalos | 5 | — | 2026 |
| Maxim Danilov | 5 | — | 2025 |
| Andy Kitchen | 4 | — | 2026 |
| Dr. Kristian Rother | 4 | — | 2026 |
| Iryna Kondrashchenko | 4 | — | 2026 |
| Larissa Haas | 4 | — | 2026 |
| Laura Summers | 4 | — | 2026 |
| Oleh Kostromin | 4 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.