Solving Marketplace Cold Start at Scale with Ranking
How to handle supplier, product, and demand cold start in a two-sided marketplace by combining ranking signals, exploration, experimentation, and marketplace-level objectives.
Talks
Conference presentations.
From Trees To Transformers: Adopting Deep Learning for Ranking
Designing, training, and evaluating deep learning models for marketplace ranking systems, with real-world experimentation insights.
Switching from Data Scientist to Manager
Reflections and practical advice on transitioning from an individual contributor role in data science to an engineering management position.
DDataflow
Improving data workflow reliability and developer experience through better orchestration and testing practices.
Data Unit Tests
Applying software engineering testing principles to data pipelines and machine learning systems to improve reliability and reproducibility.
MLflow Workshop
Workshop of 1.5 hours to teach the basics and more advanced features of MLflow.
MLOps at GetYourGuide
Lessons learned from building and operationalizing machine learning systems in production, including platform design and team adoption.
MLOps in Practice
Practical insights from implementing MLOps best practices in a fast-growing marketplace environment.
ML Platform Architecture
Building and scaling an internal ML platform to support training, deployment, and experimentation workflows across data teams.
