Causality, Marketing & Simulations || Juan Orduz || Causal Bandits Ep. 003 (2023)

Send us Fan MailSupport the show Video version available on YouTubeRecorded on Aug 25, 2023 in Berlin, Germany Is Marketing Intrinsically Causal? After spending 5 years talking to mathematicians, Juan decided to look for new opportunities that would offer him more immediate impact on the world. Little did he know that this journey will lead him to become a Senior Data Scientist at Wolt - one of the global food delivery leaders with operations in 25 countries. In this episode we discuss Juan's journey towards data science, how causality was close to his heart from the very beginning and why starting simple is a good thing. Juan shares how his background in physics and advanced geometry helps him tackle causal problems he faces daily in his work in the fields of marketing and pricing. "It's fundamental for decision-making" - he says when asked about the future of causal modeling and causal AI. We discuss the consequences of ignoring the causal structure in marketing problems. Finally, Juan shares how inaccurate world models contributed to a distaste for wearing gloves by someone dear to him. Ready to dive in? About The Guest Juan Orduz, Phd is a Senior Data Scientist at Wolt. He is a blogger and an open source contributor. Juan holds a PhD in geometric analysis. Connect with Juan: - Juan on LinkedIn - Juan on Twitter/X - Juan's Blog  About The Host Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality. Connect with Alex: - Alex on the Internet Links (see here for the full list) Causal Bandits Team Project Coordinator: Taiba Malik Video Editors: Navneet S., Aleksander Molak Support the showCausal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn:   https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io  The Causal Book: https://amzn.to/3QhsRz4