Ken's Nearest Neighbors
En podcast af Ken Jee
Kategorier:
197 Episoder
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Creating Career Insurance in the Age of Tech Layoffs (Matt Harrison) - KNN Ep. 136
Udgivet: 8.2.2023 -
Why are Data Science Jobs Disappearing? (Jay Feng) - KNN Ep. 135
Udgivet: 1.2.2023 -
From Highschool Teacher to Data Science Leader (Ben Doremus) - KNN Ep. 134
Udgivet: 25.1.2023 -
The Future of Data Engineering (Joe Reis and Matt Housley) - KNN Ep. 133
Udgivet: 18.1.2023 -
The TRUTH About Landing Your First Data Job (Avery Smith) - KNN Ep. 132
Udgivet: 11.1.2023 -
How To Prioritize Work and School For a Data Career - KNN Ep. 131 (Devansh)
Udgivet: 4.1.2023 -
When Comedy Collides with the Tech Scene (Socially Inept) - KNN Ep. 130
Udgivet: 28.12.2022 -
The TRUTH About Working in Gaming as a Data Scientist (Carly Taylor) - KNN Ep. 129
Udgivet: 28.12.2022 -
How She Built Her Own Role at Google (Stephanie Wong) - KNN Ep. 128
Udgivet: 7.12.2022 -
Leaving His Data Analyst Job for Good (Stefan Masnikovic) - KNN Ep. 127
Udgivet: 30.11.2022 -
Podcast Update, Feedback, and Future Plans - KNN Ep. 126
Udgivet: 23.11.2022 -
The Secret Analytics War Behind International Team Golf (Dylan Beirne) - KNN Ep. 125
Udgivet: 16.11.2022 -
The Woman Behind the Kaggle Days World Championship (Maria Parysz) - KNN Ep. 124
Udgivet: 9.11.2022 -
Working at Kaggle as a Kaggle Grandmaster (Walter Reade) - KNN Ep.123
Udgivet: 2.11.2022 -
Why She Left a Big Tech City to Advance Her Career (Christina Stathopoulos) - KNN Ep. 122
Udgivet: 26.10.2022 -
Multiplying His Income 6X in 4 Years With Data Jobs (Shashank Kalanithi) - KNN Ep. 121
Udgivet: 19.10.2022 -
Cowboys vs. Scientists (DJ Rich) - KNN Ep. 120
Udgivet: 12.10.2022 -
An Inside Perspective on Baseball Analytics (Jeremy Frank) - KNN Ep. 119
Udgivet: 6.10.2022 -
Why You SHOULD Take Risks Early in Your Career (Patrick Akil) - KNN Ep. 118
Udgivet: 29.9.2022 -
Quantifying "Soft Skills" to Get the Most Out of Your Career (Cole Nussbaumer Knaflic) - KNN Ep. 117
Udgivet: 22.9.2022
The Ken's Nearest Neighbors Podcast is about telling the unique stories of the people in the data and AI space. In highly technical fields, we often lose sight of the individuals who are making the positive change. The podcast focuses on who these people are and how they have approached the big decisions in their life that shaped their world view and career. While the podcast is centered on a technical domain, the conversations often touch on personal philosophy, the pursuit of meaning, and how we define success in our career and lives.
