Today I had the pleasure of interviewing Ovetta Sampson. I co-teach a grad student course called Designing Ethical AI Sysetms with Ovetta. As a Principal Design Director at Microsoft, she works with a team of talented researchers, data scientists, designers and engineers that work with large-scale customers to visualize a clear path to digital transformation that starts in the now and builds towards the future. Ovetta is an IDEO alumna as well. While working there, her sweet spot was the intersection of humanity, business and technology. Combining her M.S. in Computer Science (HCI) with her BA in Communications, Ovetta is always thinking about how to visualize humanity’s future and how serve people through digital and intelligent products ethically and with compassion. In this interview we learn about how Journalism and influence from her father launched her interest in design and technology. We also learn about the world she sees where designers and data scientists join forces to make positive change in the world. We end with a fascinating conversation about ethics related to AI, and how we can use design to better understand our human bias. I hope you enjoy this episode!

Christian is a Sr. Business Intelligence (BI) Engineer @ PlayStation. Previous he has worked in BI at Nike, Warner Brothers, USC, and Machinima (Ma-shin-im-ma). He took the tech world by storm when he joined Clubhouse and quickly grew to 23k followers as of today. He runs rooms around Data Science and Analytics and how to get your first job. He has helped thousands of people on Clubhouse to improve on their Linkedins, data projects, networking, salary negotiations, and more.In this video we talk about how Christian made the transition from photographer to data analyst. We also highlight his bootcamp experience, and how he was able to create a massive demand for himself during the job hiring process. Finally, we touch on how he has been able to leverage the clubhouse app into multiple new opportunities.Links: Christian Bourdeauhttps://linkedin.com/in/christianbourdeau/https://joinclubhouse.com/@christianblifehttps://joinclubhouse.com/club/data-science-analyTwitter: @christianbdata

This episode of Ken’s Nearest Neighbors is going to be a little different. For this one I had my friend Jeremie Harris back on the show, he was on for episode 15 of the podcast. His company, sharpest minds has collected data on the success rates their mentees have had in the data science job application process. The team was gracious enough to share the findings via a blog post. I highly recommend watching my most recent YouTube video where I go through the findings before listening here. In this episode we talk through some questions I had about the findings and also some of the actionable things that you can do to improve your chances in the data science job market. I hope you enjoy!Video on  @Ken Jee Referenced: https://www.youtube.com/watch?v=-ONQ628CXKQPrevious Interview with Jeremie (Ep 15): https://www.youtube.com/watch?v=7VcdvSyoxncArticle Referenced: https://towardsdatascience.com/when-should-i-hear-back-and-other-painful-questions-answered-with-data-cd06edb1976a

This week I had the pleasure of speaking with Greg Coquillo. Born and raised in Haiti, Greg is an Industrial Engineer with a Master's degree in Engineering Management who's been leveraging data to solve complex business challenges  in operations, supply chain, quality and product management. After 8 years of applying Lean Six Sigma and Continuous Improvement, Greg recently transitioned to a tech company where he works with Data Scientists and uses AI to positively impact the lives of millions of customers.Greg's motto is: "Let curiosity be your fuel for growth". In this interview we talk about greg’s experience growing up in Hati, his thoughts on project management in AI, and how he expects AI to impact countries like hati in the future.

Brennan has 8 years experience as an analyst in the Finance and Talent Acquisition spaces. Most of his time is spent building SQL queries or visualizing data inside of Power BI. Brennan's love for sports collides with his passion for data on Instagram @Cardboard.Calculus and http://rotogrinders.com/. When not crunching numbers he his chasing his 16 month old son Grayson around or spending time with his wife Brittany. In this interview we learn about the incredible things Brennan is doing with analytics in the trading card space, we also touch on nft's, time management, and about how he was able to get paid to write about his sports analytics passion on rotogrinders.com

Today I had the pleasure of interviewing Lillian Pierson. Lillian helps data professionals transform into world-class data leaders and entrepreneurs. To date she’s educated over 1 Million data professionals on AI, and over 10% of the data entrepreneurs have landed 6-figure contracts within the first 7-months of working with her. In this episode, Lillian shares the story of her early affinity towards data. As a child it was fun and easy for her to begin working with spreadsheets. We also touch on her hands on work using data analytics to help design reaction protocols for substituting Hydrogen with Deuterium atoms from within nucleic acids. Toward the end, we explore how she made the transition into data entrepreneurship and we both discuss our experiences growing as content creators and educators.

This episode is brought to you by Pandio, more on them later! Today I had the pleasure of interviewing Jake and Aaron. These two brothers are on a mission to make advanced analytics accessible to all. This is the first time I’ve had two people on the show, so it should be twice as interesting. Jake, Aaron, and their friend Nate founded Mito, a low code jupyter lab plugin that allows you to use excel commands to generate pandas scripts. In this interview we learn about how Jake and Aaron learned enough programming to bootstrap this project together, we also hear about their experience in Y Combinator, and at the end you get a sneak peak into each of our startup ideas that never made the final cut.

On this episode I have the opportunity to speak with Joshua Odmark. Josh is the founder and CTO of Pandio. He started his first company at the age of 15, sold his first company at 18, and has been a serial entrepreneur ever since. He is passionate about bringing artificial intelligence to the masses and dreams of a world where AI has a positive impact on the entire world. He is currently building our data-driven future at Pandio.com. In this interview we talked about how the data collected from Josh’s early company fed his fascination with engineering and data science. We also talk about Skynet, and the future of technology.

Today I had the pleasure of speaking with Keith McCormick. Keith is an independent data miner, trainer, speaker, and author out of North Carolina who’s LinkedIn learning courses have been viewed over 500,000 times. For the last several years, the focus of Keith’s work has been to improve how analytics leadership runs their teams and how they hire and nurture new talent. Keith actually started his analytics journey as an SPSS instructor, and in this interview we talk about the rise and fall of the software. We also talk about his thoughts on the future of machine learning tools and his ongoing fascination with personality types. I hope you enjoy the chat!

This week I had the chance to speak with Matthew Edwards. Matthew is the Director of Football Analytics at the University of Virginia (A school that I happen to be an alumni of). Football and math have always been a huge part of his life. While at BYU, he majored in Math and has a master's degree in Public Administration. He also played Tight End on the football team there from 2008-2011. After a few years coaching, he transitioned to Analytics in his current role with UVA. He started the Master's of Data Science degree at UVA this semester, and is excited to learn more about Data Science. He is married to MaryBeth Edwards, and has two boys: Luke and Shea who are already starting to get interested in college football, or at least the team mascots. In this interview we learn how Matt made his way into analytics from the player and coaching route. We talk at length about how someone can break into sports analytics as a career, and we also touch on why he decided to go back for his masters in data science at UVA. I hope you enjoy!