Support the show: https://www.buymeacoffee.com/datascienceharp

Highlights of the Show:

[00:01:32] Guest Introduction

[00:03:24] Where did you grow up and what was it like there?

[00:04:18] You spent a decade abroad in Spain. How did that happen?

[00:06:28] How did you transition into analytics?

[00:08:31] How did you learn another language as an adult? Was that challenging? How did you figure that out?

[00:13:48] You and Kate are quite busy. How do you balance all of these activities, all of these speaking engagements and teaching, plus having a full time job?

[00:18:17] How did you develop this reading habit and how are you getting all these books? Are you getting them delivered to you or do you have a book exchange thing? How's this working?

[00:20:35] Do you do audiobooks or just strictly so?

[00:21:50] How can someone who's new to this space (analytics) decide which direction is right for them? And how did you figure out what direction you wanted to go into?

[00:24:53] What are some soft skills that you think have helped you really excel in your career?

[00:29:16] Russell defined your multilingual skills with spoken and written language. Do you find that they help you when translating between different coding languages?

[00:31:08] How can we simplify complex tasks?

[00:32:59] When you put yourself into their shoes, is there some kind of universal thing that most CEOs tend to care about or universal points that you've noticed through all these interactions that you've had, if such a thing could exist?

[00:38:18] How did you overcome technological challenges? If you face that challenge at all. What I'm trying to ask is learning new things as they come up in your career. How do you handle that? How do you manage that?

[00:42:51] Is there anything that you feel like you're just a natural at?

[00:43:31] In terms of the new methodologies and new technology that is coming out, is it mostly the academic research stuff? Is the cutting edge deep learning stuff? What do you find more fascinating?

[00:46:20] "How do you practice being present during tough times and tie back to your purpose with the work you do?"

[00:49:39] If you had any words of advice or encouragement for the women who are breaking into or that are currently in our world of data science?

[00:52:43] What can we do to foster inclusion of women in data science?

[00:57:04] It is 100 years in the future. What do you want to be remembered for?

Random Round

[00:57:54] You've done a lot of traveling 50 countries. What's the most beautiful place you've ever seen?

[01:02:39] What song do you have on repeat?

[01:05:19] What incredibly strong opinion do you have that is completely unimportant in the grand scheme of things?

[01:06:01] What was your best birthday?

[01:06:10] Do you have any nicknames?

[01:06:24] What's your worst habit?

Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh

The Artists of Data Science Social links: