Welcome to Ken's Nearest Neighbors, the podcast where I interview the most interesting people I can find on Data Science, Sports Analytics, Content Creation, Health, Performance, and much much more!
Podcast Update, Feedback, and Future Plans - KNN Ep. 126
In this episode I give a short update on the podcast, ask for feedback on ways to improve, and talk about the future of KNN and my YouTube channel.
The Secret Analytics War Behind International Team Golf (Dylan Beirne) - KNN Ep. 125
Dylan Beirne is a quant trader and data scientist, most focused on golf. Currently he works with Nellie Analytics, part of SIG, modelling and trading golf. He’s worked on analysis and strategy with the last 2 Ryder Cup European Teams and 2 International Presidents Cup teams, as well as a variety of golfers, from major winners and world #1s to challenge tour players. As it so happens, As it so happens, I was running analytics for the US team in many of those team events, which makes Dylan and I rivals in a way. In this episode, we learn how Dylan transitioned from construction into working in sports analytics, we dive deep into the business of sports gambling and trading, and we share our thoughts on the analytics battle that goes on behind the scenes of the biggest golf events.
Follow Dylan Beirne on Twitter: https://twitter.com/dylan__beirne
The Woman Behind the Kaggle Days World Championship (Maria Parysz) - KNN Ep. 124
This week I had the pleasure of interviewing Maria Parysz. Maria is the CEO of LogicAI, founder of ElephantAI and the mastermind behind kaggle days. Kaggle days is a series of in person kaggle events that has it's own beautiful community. In this episode we learn the origin story behind kaggle days, about the current world championships, and about how Maria AI managers as an underserved community.
Working at Kaggle as a Kaggle Grandmaster (Walter Reade) - KNN Ep.123
Today I had the pleasure of interviewing Walter Reade. Walter is a data scientist at kaggle where he helps to prepare competitions. He is also a kaggle grandmaster with an incredible story. In this episode we learn about how Walter landed his role at kaggle, how he became a kaggle grandmaster, and some of the unique projects that he worked on along the way.
Why She Left a Big Tech City to Advance Her Career (Christina Stathopoulos) - KNN Ep. 122
Today I had the pleasure of interviewing Christina Sathopolous. Christina is an Analytical Lead at Google where she works with the Waze. She also teaches at two international business schools and has built a impressive brand as a linkedin creator and public speaker. She is also well known for the #bookaweek challenge on linkedin. In this episode we dive deep into her decision to relocate back to Spain from New York, her work as an analytical lead, and the books that changed her life.
The One Thing: https://amzn.to/3FhZgBO
Children of Time: https://amzn.to/3FfzsGc
Multiplying His Income 6X in 4 Years With Data Jobs (Shashank Kalanithi) - KNN Ep. 121
Today I had the pleasure of welcoming back @Shashank Kalanithi . Shashank is the reigning iron analyst, a data analyst turned senior data engineer, a youtuber that now has over 100,000 subscribers and a good friend. In this episode we talk about how technology can be one of the great equalizers for inequality, how he was able to 6x his income through this field over the last 4 years, and about his experience in the iron analyst competition. I have linked the full competition in the description below if you’re curious about that as well. This was a great chat with Shashank, I hope you enjoy it as much as I did!
Iron Analyst: https://brightdata.com/iron-analyst
The guests are always interesting and I like to hear about their different career paths
Great podcast, interesting topics
Ken does a great job covering relevant tech, data science topics. Very interesting guests.
Fun, Friendly, Practical Data Science
Ken is a great data scientist and a wonderful YouTuber, and now he can add podcasting to the list of things he is great at! Ken makes data science very accessible for people of every level. As an aspiring data scientist myself, I’ve enjoyed all of his content and look forward to more.