Marco Vene
With over a decade of experience in data science and analytics, I am a Senior Data Scientist at GetYourGuide, where I lead initiatives in leveraging large language models (LLMs) to enhance content quality and conversion rates. My expertise includes fine-tuning LLMs for custom text generation and classification, developing NLP models for discovering new travel interests, and automating predictive models for global travel demand. I have a robust background in machine learning, natural language processing, and AI-driven content automation, which has significantly improved operational efficiencies and business outcomes.
Prior to moving to Data Science, I was a Senior Data Analyst at GetYourGuide, where I developed key metrics for availability and loyalty, built automated forecasting for our travel activities, performed impact analyses for sales and marketing, and automated data analyses with custom libraries.
Before joining GetYourGuide, I worked as Data Analyst in Foodpanda, an online food delivery platform, where I optimized restaurant ranking algorithms and developed recommendation systems.
My analytical journey began at Wealth-X in Budapest, where I worked as a Business Analyst, and later as Research Consultant in Millward Brown Vermeer, where I applied statistical techniques to report insights to external customers.
I hold a Master's degree in Marketing from Rotterdam School of Management, Erasmus University, graduated cum laude, and a Bachelor's degree in Business/Managerial Economics from Università di Pisa.
Driven by a passion for data-driven decision-making, I am committed to advancing AI technologies to solve complex business challenges. At PyData 2025 Berlin, I aim to share insights into deploying AI at scale, refining training data, and mastering prompt engineering to automate content creation across industries.
Session
In the fast-paced realm of travel experiences, GetYourGuide encountered the challenge of maintaining consistent, high-quality content across its global marketplace. Manual content creation by suppliers often resulted in inconsistencies and errors, negatively impacting conversion rates. To address this, we leveraged large language models (LLMs) to automate content generation, ensuring uniformity and accuracy. This talk will explore our innovative approach, including the development of fine-tuned models for generating key text sections and the use of Function Calling GPT API for structured data. A pivotal aspect of our solution was the creation of an LLM evaluator to detect and correct hallucinations, thereby improving factual accuracy. Through A/B testing, we demonstrated that AI-driven content led to fewer defects and increased bookings. Attendees will gain insights into training data refinement, prompt engineering, and deploying AI at scale, offering valuable lessons for automating content creation across industries.