Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. Currently, he's a Lead Data Scientist at Syngenta, a multinational agribusiness company with a mission to improve global food security. Before that role, he co-founded a search engine startup, incubated by Harvard Innovation Labs, that combined the power of cloud computing and machine learning with principles in decision-making science to expose users to new places and events efficiently. Whether it pertains to leisure activities, plant diseases, or customer lifetime value, Serg is passionate about providing the often-missing link between data and decision-making. He wrote the bestselling book "Interpretable Machine Learning with Python" and is currently working on a new book titled "DIY AI" for Addison-Wesley for a broader audience of curious developers, makers, and hobbyists.