Today I had the pleasure of interviewing Jess Ramos. Jess is a Senior Data Analyst at Crunchbase, a LinkedIn Learning Instructor, and a content creator in the data space. She has a bachelor's degree in Math, Spanish, and Business and a master's in Business Analytics. She has focused most of her career in the FinTech data industry, and she's super passionate about impacting the world through data and technology. Jess is a huge advocate for women in STEM and loves to combat stereotypes and support others. She lives and works remotely in GA with her husband and 4 pets, and she loves to volunteer within the community as an ESL teacher and middle school lacrosse coach. In this episode we discuss the benefits and drawbacks of putting yourself out there, how to weigh the decision of leaving a job very early, and how she is trying to help break the mold for women in stem.  Jess's Links:LinkedIn - https://www.linkedin.com/in/jessramosmsbaLinkedIn Course - https://www.linkedin.com/learning/preparing-for-your-analytics-job-interviewInstagram - https://www.instagram.com/jessramosdata

Today I had the pleasure of interviewing Ruchi Bhatia. She is a 3x kaggle grandmaster and grad student at Carnegie Mellon studying Information Systems Management. Ruchi is also a fellow Z by HP global data science ambassador. In this episode we talk about her experience becoming a kaggle grandmaster, how she was able to kickstart her career through sharing her work, and the implication of ChatGPT on students, teachers, and kagglers. Ruchi's Links:LinkedIn - https://www.linkedin.com/in/ruchi798/Kaggle - https://www.kaggle.com/ruchi798Twitter - https://twitter.com/ruchi798?lang=en

Today I had the pleasure of interviewing Serg Masis. Serg is a Data Scientist at Syngenta, a leading agribusiness company with a mission to improve global food security, and a bestselling author of "Interpretable Machine Learning with Python", and upcoming "DIY AI". Before that, he had a prior career in entrepreneurship, web and app development, and analytics for over fifteen years. He's passionate about improving decision-making with data, learning by building AI systems from scratch, and empowering others that wish to do the same. In this episode Serg teaches me all about how data science has changed how food is grown, we also touch on the recent advancements in AI and their implications on DIY AI. Serg's Links: LinkedIn: linkedin.com/in/smasisTwitter: https://twitter.com/smasisWebsite: https://www.serg.ai/GitHub: https://github.com/smasis001Mastodon: https://mastodon.social/@smasis@masto.aiSerg's Book: https://amzn.to/3GgpHHA

Michael Galarnyk, a guest who left his job in big tech, talks about the downsides of working in the industry, the benefits of traveling and working remotely, and the instability of job security. They also discuss alternative income streams, monetizing hobbies, challenges of remote work, upskilling, and equity distribution in startups.

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/