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Today I had the pleasure of interviewing Greg Hogg. Greg was a statistics major from the university of waterloo turned YouTuber with a love for teaching and machine learning and deep learning models. In this episode we learn about Greg's experience with Waterloo's unique co-op structure and how he found himself at the intersection of education, content, and data science. Greg's Links:LinkedIn - https://ca.linkedin.com/in/greghoggYouTube -  https://www.youtube.com/channel/UCJublDh2UsiIKsAE1553miwWebsite - https://www.greghogg.com/

Be sure to check out Theo's Session at GTC! You can register here: https://nvda.ws/3XQRqoF Win a RTX 4080 or DLI credits here: https://forms.gle/htEV2dDgk11t1btr9Today I had the pleasure of Interviewing Theo Viel. Theo is a French 3x Kaggle Grandmaster (Competitions, Notebooks, Discussions) and part of the Kaggle Grandmaster of NVIDIA (KGMON) team. He’s mostly interested in Deep Learning - but is keen to tackle any problem as long as it's challenging and he’s learning new things. In this episode, we learn about Theo’s origins in Kaggle, how he keeps a regular competition schedule, what it is like to be on the Kaggle grandmaster team and much more! Theo and the rest of the KGMON team will be speaking at GTC Match 20-23, so be sure to check that out as well.Theo's Links:LinkedIn - https://www.linkedin.com/in/theoviel/?locale=en_USTwitter - https://twitter.com/The0VielKaggle - https://www.kaggle.com/theovielGitHub - https://github.com/TheoViel

This Week I had the privilege of interviewing Tina Huang and Zach Wilson. We were roommates for the month in Salt Lake City. Both have been previous guests on the show. In this episode we talk about the future of tech jobs, solopreneurship, and their reasons for leaving San Francisco  (and now going back)Tina's Links:YouTube - https://www.youtube.com/@TinaHuang1Newsletter - https://tinahuang.substack.com/LinkedIn - https://www.linkedin.com/in/tinaw-h/Zach's Links:YouTube - https://www.youtube.com/c/DatawithZachMedium - medium.com/@eczachlyLinkedIn - https://www.linkedin.com/in/eczachly/

Today I had the pleasure of interviewing Chris Tabb. Chris is the Co-Founder & CCO at LEIT DATA. In this episode he schools me on the modern data stack and gives me a great look into the history of data and data management.He started his career in the Business Intelligence/Analytics domain 30 years ago. Beginning at Cognos in the 90’s working in the back office before becoming an expert in all their products, and leaving to become an independent BI consultant in 1998. It is safe to say he loves Data and always hasHe followed the evolution of the analytics industry, working hands-on with all the technologies in the ecosystems: - Databases, ETL/ELT, BI/OLAP /Visualisation Tools, Big Data Technologies, Infrastructure On-premises / Cloud across many vendors, some old some new.Nowadays he works at a more strategic level providing Technical Roadmap, Vendor Selection, Migration Strategies, Data Management, Data & Application Architecture, but still likes to keep hands-on with products in the Data Eco System.Chris's Links:Linkedin - https://www.linkedin.com/in/chris-tabb-datatips/?originalSubdomain=ukSki Event - https://skiersindata.com/Leit Data - https://www.leit-data.com/

David “Gonzo” González is an Executive and Data Science professional with well over a decade of experience putting AI and ML into production in mission-critical systems. He co-founded Zeff.ai, acquired in 2020 by DataRobot where he succeeded in bringing a jobs-to-be-done perspective to focus product strategy. He led Zeff.ai as CEO and pioneered transactionally authored training and inference on multi-modal datasets. Gonzo is the primary author of The AI Manifesto for Applied Artificial Intelligence Development and has multiple ML patents. In his free time, he enjoys playing outdoors in the wilds of his adoptive home of Utah with his wife and five children. Gonzo has recently taken a break to pursue a startup combining health and wellness and AI. As a warning, in this episode we touch on sensitive topics like a data centric view of religion and also on plant based medicine. This was an enlightening conversation and I’m grateful for Gonzos candidness and openness. Now on to the interview. 

Zach Quinn is a data engineer and writer with a master's degree in Data Science and an undergraduate degree in journalism. During his, admittedly, short broadcast media career, Zach worked in radio, television and digital media. At age 20, he worked as a producer for his favorite morning radio show in Baltimore, which he left abruptly after getting an opportunity to intern at the Tonight Show. Following the Tonight Show, Zach went to Orlando, FL where he worked at Disney World while the company paid for his data science master's. Shortly after graduation, Forbes hired Zach as a data engineer; he works remotely full-time. In his spare time, Zach writes about data, tech and remote work on his Medium blog, Pipeline. He's also contributed to Towards Data Science and is a co-editor of Learning SQL where he and his co-editors helped it rank as a top 5 publication for the SQL tag. He lives in Orlando with his wife and the pets that interrupt all of his meetings.  Zach and I had an amazing conversation about the importance of writing in data science, how he leverages the skills learned from journalism in his current work, and his highly unorthodox projects.Zach's Links:LinkedIn - https://www.linkedin.com/in/zach-l-quinnMedium - https://zachl-quinn.medium.com/

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=kenjeeLinkedin - 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/3IW9XeZJoe'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/

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

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=enML 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.comhttp://www.twitter.com/stephr_wonghttp://www.linkedin.com/in/stephrwonghttps://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

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.

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

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.

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.Walter's Links:Kaggle: https://www.kaggle.com/inversionTwitter: https://twitter.com/walterreadeLinkedIn: https://www.linkedin.com/in/reade/