by Christina Stejskalova
Hi, my name is Christina and I have spent the last decade working in data. I love data, and sometimes I hate data. I am launching a podcast for data people like me that discusses all the ups and downs of data, and the tools data people use that have changed the data landscape. + A lot of sarcasm, excellent humor and bunches of fun. A real data party.
Language
🇺🇲
Publishing Since
9/26/2023
See how your podcast performs across key metrics
Recommendations available
Unlock the full report to see detailed tips
Recommendations available
Unlock the full report to see detailed tips
Unlock comprehensive insights including:
See how your show performs across every key metric
High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.
Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.
Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
March 4, 2026
<p>Remember that article from 2012? That one that talked about the "hottest" job of the century. If you can't remember, allegedly it was data science!</p><p>But how much has changed since then? Is data science still a career worth pursuing? How does it compare to data engineering or ML engineering, or the many other data roles that have sprouted in it's place?</p><p>Join me with Timothy Chan, head of data at StatSig, for the first ever... LIVE DATA PARTY!</p>
August 11, 2025
<p>I don’t know if you’ve heard, but there is this cool, new thing out there called…AI, and, it’s changing everything! But one big, extremely important, question remains unanswered: <strong>how will it transform data work? (of course because this is a data podcast, data is ALL that matters!)</strong></p><p>Many data startups have keyed in on using AI to generating insights. There is only one problem, insights based on bad data are just… bad insights.</p><p>What if AI could revolutionize not just analytics, but the way we get clean, reliable data in the first place? Today, I’m talking with Shinji Kim, founder of Select Star, about her bold bet on AI and the future of data quality.</p><p><br></p><p>Credit to @<strong>freesound_community </strong>for the sound effects!</p>
April 30, 2025
<p>I recently read an article that talked about the first <a href="https://www.lennysnewsletter.com/p/hiring-your-early-team-b2b" rel="ugc noopener noreferrer" target="_blank">10 hires</a> in various startups. None were data people. More interestingly, of the 19 companies interviewed, more than 30% were data companies, yet even among these, only 50% of those companies recruited a data person. In today's podcast, I'm incredibly excited to be speaking with Kevin Hu, CEO of Metaplane, a data startup that (I believe) has data people on the team, to understand why exactly don't startups hire data teams?</p><p><br /></p><p>Music by <a href="https://pixabay.com/users/hitslab-47305729/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=324902" rel="ugc noopener noreferrer" target="_blank">Ievgen Poltavskyi</a> from <a href="https://pixabay.com/music//?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=324902" rel="ugc noopener noreferrer" target="_blank">Pixabay</a></p>
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
Hi, my name is Christina and I have spent the last decade working in data. I love data, and sometimes I hate data. I am launching a podcast for data people like me that discusses all the ups and downs of data, and the tools data people use that have changed the data landscape.
This podcast updates weekly.
This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Information about guest appearances is not available.
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.