What AI Means for Us

In this episode, we sit down with Tetiana Torovets, Head of Data Science at QuintoAndar. Tetiana shares her journey from banking and consulting in FinTech to leading a team at ThredUP and now at QuintoAndar. 

We explore the intricate challenges of creating recommender systems for marketplaces, the balance between classical machine learning and the latest neural networks, and the application of AI-driven search assistants. 

Tune in for insights on metrics, experimentation, and the future of AI in property tech.

✅ Tetiana's Career Journey in Data Science
✅ Differences in Machine Learning Across Industries
✅ Challenges in Marketplace Recommendations
✅ Technical Insights and Multi-Objective Models
✅ Search Assistants and Future of Property Tech
✅ Leadership and Hiring in Machine Learning

What is What AI Means for Us?

Welcome to What AI Means for Us, by NeuralRec.ai

What AI Means for Us is all about deep diving into technical machine learning topics and showing its real-world impact, bridging the gap between AI-first companies and adoption.

We chat with subject matter experts across reinforcement learning, recommender systems, deep learning and generative AI. As well as chatting with VCs, operations and strategy experts.

Who are NeuralRec.ai? NeuralRec are recruitment staffing agency, we build niche ML teams and represent some of the globe's best ML talent.