On this episode I had the chance to speak with Alex. Alex the analyst is a friend of mine and is currently a data analyst at a Fortune 500 company. He also happens to have a YouTube channel where he talks about his experience as a data analyst and gives advice on how to break into the field. In this episode, you will learn how Alex got his start as a data analyst “coming from a non-traditional background”, his thoughts on data science versus data analytics, and how he is dividing all of LinkedIn with his posts.

Today I had the pleasure of speaking with Adrien Treuille. He is co-founder and CEO of Streamlit which is pioneering next-generation tools for machine learning engineers. Adrien has been VP of Simulation Zoox, lead a Google X project, and was a Professor of Computer Science and Robotics at Carnegie Mellon. He gives talks around the world, including to the President's Council of Advisors on Science and Technology, and has won numerous scientific awards, including the MIT Top innovators under 35. Adrien and his work have been featured in the documentaries "What Will the Future Be Like" by PBS/NOVA, and "Lo and Behold" by Werner Herzog. In todays episode we talk about Adrien’s experience moving from academia to industry, how Streamlit was inspired by hardware used to create electronic music, and the philosophy that guided most of his career decisions.

This week I had the chance to talk with Andrew Jones. Andrew has spent over 13 years in Analytics & Data Science at companies including Amazon & more recently Sony PlayStation where he developed and prototyped Machine Learning based features for the PlayStation 5 - several of which have been patented by Sony. Throughout his career he has interviewed & screened hundreds of Data Science candidates, and in 2019 authored "The Essential A.I. & Data Science Handbook for Recruitment"​ Andrew now runs DATA SCIENCE INFINITY, a full program for learning & excelling in Data Science.

This episode I had the pleasure of speaking with Will Ramey. Will is a senior director at NVIDIA, where he leads global teams responsible for the NVIDIA Developer Program and Deep Learning Institute. Since joining the company in 2003 he has served in several technical and leadership roles, including several years as the first product manager for CUDA and NVIDIA's developer tools. Prior to joining NVIDIA, he managed an independent game studio and developed advanced technology for the entertainment industry as a product manager and software engineer. He holds a degree in computer science from Willamette University and completed the Japan Studies Program at Tokyo International University. Outside of work Will enjoys playing piano, learning Spanish, and open water swimming.

In this episode I have the chance to speak with Christina Stathopoulos. Christina is originally from the US but has been based in Madrid, Spain since 2012. Working as an expat and dedicated to the world of data, she has followed a unique path to make a name for herself in the field on a global level. She is currently working as an Analytical Consultant at Google, Adjunct Faculty at IE Business School and Guest Lecturing, all while maintaining quite an active schedule as an international speaker and thought leader. Her core work at Google involves empowering top advertising clients to make data-driven business and marketing decisions. While her academic work focuses on teaching analytics topics to MBA students. She is also passionate about pushing for more diversity in tech, as well as a love for travel and books!

On this episode I have the chance to speak with Michael Galarnyk. Michael is a Python and Machine Learning Instructor for Stanford Continuing Studies, LinkedIn Learning, and more. You can find him on Twitter @GalarnykMichael, through his blog on Medium, or through his Youtube channel. In this conversation, I spoke with Michael about his philosophy on formal vs informal education, how he teaches/learns data science, and you will also hear about one of the crazy locations that he filmed a course!

On this episode I have the chance to speak with Jacob Amaral. Jacob is the co-founder of WeTradeHQ, an online marketplace of day traders and investors. He also builds automated trading bots that invest his own money into market automatically and for his clients as well. Jacob loves to automate everything and has found a passion with combining software with finance. Hope you enjoy!

On this episode I am speaking with Forrest Knight. Forrest graduated with a Computer Science degree and worked as a full-stack software engineer. He documented his journey along the way and continues to do so while sharing what he's learned on YouTube. In this podcast we talk about how Forrest built his lifestyle from programing and the differences between data science and software engineering!

On this episode I have the chance to speak with Josh Starmer. Josh is the founder and CEO of StatQuest (https://www.youtube.com/user/joshstarmer), a YouTube channel that teaches Data Science topics like Statistics and Machine Learning. Prior to StatQuest, Josh was an Assistant Professor at the University of North Carolina (UNC) at Chapel Hill. At StatQuest, Josh makes Data Science topics clearly explained. Bam.

In this episode I got to speak with Keith Galli. Keith is a data science YouTuber who focuses on in-depth library tutorials & real-world projects. Outside of YouTube, Keith works at conversational AI start-up Posh Technologies where he has worked in roles from NLP to project management. Keith holds his bachelor’s & master’s degrees in computer science from MIT. Enjoy!