Ken's Nearest Neighbors

Matt Harrison is a renowned author, python / pandas enthusiast, corporate trainer, and meetup organizer. I had the pleasure of speaking with him this week about how he hosting meetups is his biggest hack as an introvert, how he hedges his career with network insurance, why skin in the game is important for learning, and about the future skills we will need as new tools like Chat GPT enter the playing field.

Matt's Links:
Linkedin - https://www.linkedin.com/in/panela/
Website + Books - https://hairysun.com/
Twitter - https://twitter.com/__mharrison__
Matt's Company - https://store.metasnake.com/

Today I had the pleasure of interviewing Jay Feng. Jay is the founder of interview query, a platform that helps you prepare for data science interviews. Jay lives a nomad lifestyle allowing him to work from the beaches of Hawaii to the mountains of Utah. In this episode we dive into the story behind the mass layoffs in tech, why data science job postings are disappearing, and what you should do if you got laid off.

Jay's Links:
🌟 Interview Query - https://www.interviewquery.com/?ref=kenjee
Linkedin - https://www.linkedin.com/in/jay-feng-ab66b049/
YouTube -  @InterviewQuery  
Substack - https://datastream.substack.com/

Today I had the pleasure of interviewing Ben Doremus. Ben is a leader in Healthcare Analytics with a broad background in data, engineering, and management. His communication skills were refined during a decade as a 3rd-12th grade STEM teacher and teacher-of-teachers. After the stint in public schools, he found a new niche by blending his leadership experience with expertise in Data Science and Engineering for healthcare analytics startups. In this episode we learn how ben transitioned from teaching to data, what he learned from transitioning to a CTO role, and a bit about his strong feelings towards data contracts. 

Joe and Matt are two pioneers in the data engineering space. They recently published the book: The Fundamentals of Data Engineering which is now a best seller, and have worked together at Ternary data consulting in the space for the past 5 years. In this episode we learn about the future of data engineering, the scope of new AI models, and about how they make career transitions at this stage in their careers. 

Their Book: https://amzn.to/3IW9XeZ
Joe's Linkedin: https://www.linkedin.com/in/josephreis/
Matt's Linkedin: https://www.linkedin.com/in/housleymatthew/

Today I had  @averysmith back for his second appearance on the KNN podcast! We talked about fatherhood, growing your own business, and landing your first data job. Enjoy! 

Devansh is Nomad working in AI Research and Machine Learning. While he is still a college student, Devansh has been able to start a compay, land research opportunties with elite isntitutions and create one of the top newsletters in the tech space. In this episode we talk about how he is able to manage his time across all these opportunities as a student, how he was able to land such great opportunities, and what he plans to do after he graduates.

Devansh on Linkedin: https://www.linkedin.com/in/devansh-devansh-516004168/
On Medium: https://machine-learning-made-simple.medium.com/
YouTube:  @devanshmachinelearningmade7705  
His Newsletter: https://codinginterviewsmadesimple.substack.com/

interview Austin, Jesse, Nikita, and Lee about unique tech roast style of comedy, their origins, and about what makes the technology scene inherently funny. We also have some good laughs along the way. I hope you enjoy!

Links: https://sociallyinept.io/
Instagram: https://www.instagram.com/techroastshow/?hl=en

ML Process Course: https://365datascience.com/learn-machine-learning-process-a-z/
Free ML Process Course GitHub: https://github.com/PlayingNumbers/ML_Process_Course
🌟 365 Data Science  (57% Annual Discount): https://365datascience.pxf.io/P0jbBY

Today, I had the pleasure of interviewing Carly Taylor. Carly is a technology strategist, video game enthusiast, and founder of Rebel Data Science. She obtained her M.S. in chemistry from the University of Colorado focusing on computational quantum dynamics. She has authored multiple peer-reviewed publications and holds two non-provisional machine learning patents. In today's episode, Carly explores the experience of working as a data scientist in the game industry, we also touch on what it means to be a good manager and the dark side of LinkedIn. I had a blast speaking with Carly, I hope you enjoy our conversation as well.

Carly's Website: https://www.rebeldatascience.com/
Linkedin: https://www.linkedin.com/in/carly-taylor0017/

ML Process Course: https://365datascience.com/learn-machine-learning-process-a-z/
Free ML Process Course GitHub: https://github.com/PlayingNumbers/ML_Process_Course
🌟 365 Data Science  (57% Annual Discount): https://365datascience.pxf.io/P0jbBY

Today I had the pleasure of interviewing Stephanie Wong. Stephanie is a 3x Webby award-winning Head of Developer Engagement. She is a global keynote speaker, engineer, and content creator with a mission to blend storytelling and technology to inspire developers. She has created hundreds of pieces of content, including the Google Cloud Youtube series Networking End-to-End, Season of Scale, and Discovering Data Centers, and is host of the weekly Google Cloud Podcast. Before Google she helped businesses implement cloud technologies at Oracle. Born and raised in San Francisco, Stephanie's active in her community, supporting women in tech and mentoring students. She's a former pageant queen, hip hop dancer, and has an unhealthy obsession with dogs. You can find her online at @stephr_wong. In this episode we learn about how Stephaine was able to create her own unique role at the intersection of her interests, how she manages imposter syndrome with the pancake principle, and seemingly unrelated experiences like pageants can improve the value you create at work.

Stephanie's links:
stephrwong.com
http://www.twitter.com/stephr_wong
http://www.linkedin.com/in/stephrwong
https://www.youtube.com/@stephr_wong

​ @Stefanovic92 held a stable job as a data analyst for 7 years. Right at his "career peak" when he was working as a freelancer earning a 6 figure income, he decided to 180 his life completely, leave everything behind and start focusing on building a personal brand while traveling the world. In this episode we talk about why the traditional job path may not be for everyone, what Stefan learned from his travels, and how everyone can benefit from a little career risk in the right places.

Stefan's YouTube Channel: https://www.youtube.com/@Stefanovic92