Frank Taylor

Frank Taylor has a diverse work experience in the field of data science. Starting in 2013, they worked as the Lead Context & Insight Hacker (Lead Data Scientist) at shoto. In 2014, they served as an Expert in Residence at General Assembly and later joined Personagraph as a Data Scientist. At Personagraph, their main focus was leveraging known data about users and app events to predict click-through rates for targeted ads and user churn using collaborative filtering and deep learning methods. In 2015, Frank worked as a Data Scientist at Hotel Tonight, where they built a text classifier for review usefulness and designed Customer Lifetime Value models. Frank then joined Earnest Inc. as a Data Scientist, utilizing Neural Net models and GLM to classify transaction data and predict customers' ability to pay. In 2017, they became a Data Science Immersive Instructor at General Assembly and simultaneously served as Head of AI at SWARM, leading a project to build a decentralized AI platform. From 2018 to 2019, Frank worked as a Data Scientist at Migo, and from 2016 to 2020, they served as the Principal Architect and Founder of TensorAI. Most recently, in 2020, they started working as a Data Scientist at Aible.

Frank Taylor completed their Bachelor of Arts degree in Physics at the University of California, Berkeley from 1996 to 2000.