Valerio Ciotti
I'm a data-driven problem solver with diverse interests spanning physics, venture capital, machine learning, and DIY robotics. My PhD research focused on investigating the evolution and success factors of complex social systems, particularly in the startup ecosystem.
Currently, I lead the data science team for consumer and affluent customers at ABN AMRO. By applying advanced data science techniques to challenges like churn prediction, propensity modeling, and recommender systems, I'm helping shape the bank of tomorrow.
My work, which I'll be presenting at PyData Amsterdam, has garnered attention in Wired UK and was published in Nature Scientific Reports. It explores the emergence of large-scale order in complex systems, offering insights applicable across various domains. Links below:
- https://www.wired.com/story/how-to-grow-startup/
- https://www.nature.com/articles/s41598-019-57209-w
Sessions
We construct and analyze a time-varying worldwide network of professional relationships among startups to predict long-term economic performance using network centrality measures.
The presentation will provide an overview of the world wide startup network construction from CrunchBase data using Networkx. We will be modeling employee flow and knowledge transfer as links between startups. Using a network centrality we will be able to rank early stage startups (pre-seeded) and evaluate how their ranked position is correlated with their success ahead of time. Finally we will touch on implications for entrepreneurs, investors, and policymakers