Log in

goodpods headphones icon

To access all our features

Open the Goodpods app
Close icon
headphones
Ken's Nearest Neighbors

Ken's Nearest Neighbors

Ken Jee

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.

bookmark
Share icon

All episodes

Best episodes

Seasons

Top 10 Ken's Nearest Neighbors Episodes

Goodpods has curated a list of the 10 best Ken's Nearest Neighbors episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Ken's Nearest Neighbors for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Ken's Nearest Neighbors episode by adding your comments to the episode page.

Today, I had the pleasure of interviewing Dr. Serena Huang. She is one of the leaders in the field of people analytics. In this episode, we dive deep into what people analytics are and how companies are evaluating their workforce with data. We also touch on her transition from executive to solopreneur and speaker.
Serena's Links:
Her LinkedIn: https://www.linkedin.com/in/serenahhuangphd/
Her Thought leadership program - apply here
https://www.datawithserena.com/tla
Her First Book book, The Inclusion Equation - Leveraging Data & AI for Organizational Diversity and Wellbeing, will be published early next year.
Resources cited in podcast:
Research: Women Ask for Raises as Often as Men, but Are Less Likely to Get Them
https://hbr.org/2016/09/diverse-teams-feel-less-comfortable-and-thats-why-they-perform-better
Podcast Sponsors, Affiliates, and Partners:
- Pathrise - http://pathrise.com/KenJee | Career mentorship for job applicants (Free till you land a job)
- Taro - http://jointaro.com/r/kenj308 (20% discount) | Career mentorship if you already have a job
- 365 Data Science (57% discount) - https://365datascience.pxf.io/P0jbBY | Learn data science today
- Interview Query (10% discount) - https://www.interviewquery.com/?ref=kenjee | Interview prep questions
Listen to Ken's Nearest Neighbors on all the main podcast platforms!
On Apple Podcasts: https://podcasts.apple.com/us/podcast/kens-nearest-neighbors/id1538368692 (Please rate if you enjoy it!)
On Spotify: https://open.spotify.com/show/7fJsuxiZl4TS1hqPUmDFbl
On Google: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5idXp6c3Byb3V0LmNvbS8xNDMwMDQxLnJzcw?sa=X&ved=0CAMQ4aUDahcKEwjQ2bGBhfbsAhUAAAAAHQAAAAAQAQ
MORE DATA SCIENCE CONTENT HERE:
🐤My Twitter - https://twitter.com/KenJee_DS
👔 LinkedIn - https://www.linkedin.com/in/kenjee/
📈 Kaggle - https://www.kaggle.com/kenjee
📑 Medium Articles - https://medium.com/@kenneth.b.jee
💻 Github - https://github.com/PlayingNumbers
🏀 My Sports Blog - https://www.playingnumbers.com
🗣️ 66DaysOfData Discord Server - https://discord.com/invite/4p37sy5muZ

bookmark
plus icon
share episode
Ken's Nearest Neighbors - Cowboys vs. Scientists (DJ Rich) - KNN Ep. 120
play

10/12/22 • 71 min

DJ is an educational content creator on YouTube who covers Machine Learning relating topics, from Reinforcement Learning to Information Theory. As a Data Scientist at Lyft, he's successfully pushed for Causal Forecasting as the best mechanism for company-wide planning. He would argue it's the only valid data-driven approach to planning. His graduate education is formally in financial engineering, which he's used as a quant within the hedge fund industry. In this episode we dive into his experience with financial engineering, how he transitioned to his work at Lyft, and how he believes reinforcement learning will be the future of the field.

bookmark
plus icon
share episode

Jeremy Frank is the creator of the Twitter account @MLBRandomStats which has amassed nearly 100,000 followers. He's currently studying data science at Purdue University, and has previously interned at Sports Reference (creators of Baseball Reference, Basketball Reference, etc.) and for the Houston Astros working in their research and development team. In addition, he is known for co-creating the popular Wordle spinoff MLB Pickle (mlbpickle.com) and co-authoring two books about baseball stats across the history of sports. In this episode we learn how Jeremy got into sports, how teams use baseball data, and what he thinks of the new MLB rule set.
Jeremy's Twitter: https://twitter.com/MLBRandomStats

bookmark
plus icon
share episode

Today I had the pleasure of interviewing Patrick Akil. Patrick is a software engineer, consultant, and host of the @Beyond Coding Podacst. In this episode we learn about Patrick’s unique view on taking risks early in your career, we also learn some best practices for having difficult communication with your bosses and peers, and finally we learn about the very opportunistic way he was able to become the host of the beyond coding podcast. I loved this conversation and if you want to hear more of us talk, I was on his show a few weeks ago and that episode is linked in the description. Now on to our talk.
Connect with Patrick here: https://www.linkedin.com/in/patrick-akil/

bookmark
plus icon
share episode

Today I had the pleasure of interviewing Dmitri Mirakyan. Dmitri Dmitri runs the consumer product analytics team at Opendoor. Prior to that, he was a data scientist, analyst, and a consultant at Deloitte. He is passionate about data viz and finding 80/20 solutions to open-ended problems. Outside of work, he enjoys building questionably useful side projects and going fast on motorcycles or skis. In this episode we discuss how he cold emailed his way into a data role, how he is working to automate his dating and professional life with GPT3, and the trade off between fulfillment and achievement. I learned a lot from this chat with Dimitri and I think you will to!
Dmitri on LinkedIn: https://www.linkedin.com/in/dmirakyan/
https://www.yourmove.ai/
Episode with Jeff Li: https://www.youtube.com/watch?v=sGq8xIlARoo&ab_channel=Ken%27sNearestNeighborsPodcast

bookmark
plus icon
share episode

Today I had @Keith Galli back on the KNN podcast for round 2! Since our last talk, he left his startup to pursue YouTube and data science contracting full time. We talk about balancing our work, finding motivation, and maximizing our habits in this exciting episode!
Keith's Instagram: https://www.instagram.com/keithgalli/?hl=en

bookmark
plus icon
share episode

Today I had the pleasure of interviewing Thomas Watkins. Thomas is a thought leader in the User Experience space, a speaker and industry practitioner located in Houston TX. He is a life-long learner who has a passion for bringing greater clarity to the world. Thomas has made it his career’s focus to combine technology with design psychology in order to drive business success. He specializes in helping his business partners bring their own brilliant ideas to life, by translating complexity into simplicity. The scope of his work has included interface design for mobile, SaaS system architecture, usability research, and data visualization. In this episode we take a dive into the user experience field, we learn about human factors research, and we explore how data analystis and data scientists can improve their data visualization by applying some psychology principles. I hope you enjoy this episode, I know I had a great time speaking with Thomas.

bookmark
plus icon
share episode

Today I had the pleasure of speaking with @Data with Zach , a Staff Data Engineer at Air BNB. Zach is best known for his radical transparency about his salary over his career and the other amazing content that he shares on LinkedIn. Today we discuss his controversial posts, what money means to him in the scope of his career, and what he has learned from an incredibly fast career progression. We also get to meet his awesome dog!

bookmark
plus icon
share episode

Had the honor of chatting with @Luke Barousse and @Alex The Analyst at the same time this week at the #brightdatahouse! It was fascinating to hear about how they create content differently with different constraints on their time. It was also great to hear about the specific things they learned from being around so many other creators!

bookmark
plus icon
share episode

Today I had the pleasure of interviewing Alex Gold. Alex is the Director of Solutions Engineering + Support at posit and author of DevOps for Data Science. In this episode we talk about Alex's experience working in data for presidential campaigns, his experience in solutions engineering, and the role that DevOps plays in the data domain.
Book: https://www.routledge.com/DevOps-for-Data-Science/Gold/p/book/9781003213345
(You can use Code AFLY04 for a 20% discount)
Alex's Links:
LinkedIn - https://www.linkedin.com/in/alexkgold/
Twitter - https://x.com/alexkgold
Podcast Sponsors, Affiliates, and Partners:
- Pathrise - http://pathrise.com/KenJee | Career mentorship for job applicants (Free till you land a job)
- Taro - http://jointaro.com/r/kenj308 (20% discount) | Career mentorship if you already have a job
- 365 Data Science (57% discount) - https://365datascience.pxf.io/P0jbBY | Learn data science today
- Interview Query (10% discount) - https://www.interviewquery.com/?ref=kenjee | Interview prep questions
Listen to Ken's Nearest Neighbors on all the main podcast platforms!
On Apple Podcasts: https://podcasts.apple.com/us/podcast/kens-nearest-neighbors/id1538368692 (Please rate if you enjoy it!)
On Spotify: https://open.spotify.com/show/7fJsuxiZl4TS1hqPUmDFbl
On Google: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5idXp6c3Byb3V0LmNvbS8xNDMwMDQxLnJzcw?sa=X&ved=0CAMQ4aUDahcKEwjQ2bGBhfbsAhUAAAAAHQAAAAAQAQ
MORE DATA SCIENCE CONTENT HERE:
🐤My Twitter - https://twitter.com/KenJee_DS
👔 LinkedIn - https://www.linkedin.com/in/kenjee/
📈 Kaggle - https://www.kaggle.com/kenjee
📑 Medium Articles - https://medium.com/@kenneth.b.jee
💻 Github - https://github.com/PlayingNumbers
🏀 My Sports Blog - https://www.playingnumbers.com
🗣️ 66DaysOfData Discord Server - https://discord.com/invite/4p37sy5muZ

bookmark
plus icon
share episode

Show more best episodes

Toggle view more icon

FAQ

How many episodes does Ken's Nearest Neighbors have?

Ken's Nearest Neighbors currently has 197 episodes available.

What topics does Ken's Nearest Neighbors cover?

The podcast is about Podcasts, Technology and Science.

What is the most popular episode on Ken's Nearest Neighbors?

The episode title 'Cowboys vs. Scientists (DJ Rich) - KNN Ep. 120' is the most popular.

What is the average episode length on Ken's Nearest Neighbors?

The average episode length on Ken's Nearest Neighbors is 60 minutes.

How often are episodes of Ken's Nearest Neighbors released?

Episodes of Ken's Nearest Neighbors are typically released every 7 days.

When was the first episode of Ken's Nearest Neighbors?

The first episode of Ken's Nearest Neighbors was released on Oct 28, 2020.

Show more FAQ

Toggle view more icon

Comments