Data Party!

About Data Party!

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.

Publisher

Christina Stejskalova

Category

business

Language

en

Explicit

No

First episode

26 Sept 2023

Latest episode

5 Aug 2026

Latest episodes

10 of 11 episodes have a transcript.

1. 

   5 Aug 2026TRANSCRIPT

   Can AI Write a Hit Song? (Testing Google’s Music AI)

   Host [Host Name] interviews [Guest Name, Credential] about testing Google's AI music generator to understand its creative limitations and product opportunities.

2. 

   29 Jul 2026TRANSCRIPT

   I Built an AI Agent to Do My Small Business Taxes

   Host Alex Xu interviews himself as he builds an AI agent to automate small business taxes, demonstrating its capabilities and sharing lessons learned.

3. 

   21 Jul 2026TRANSCRIPT

   How to Build AI products as a data scientist

   Host [Host Name] interviews Data Scientist [Guest Name] on building end-to-end AI products using LLMs and rigorous evaluation.

4. 

   4 Mar 2026TRANSCRIPT

   EPISODE 12: Is data science still a "Hot Job"?

   Host Timothy Chan, head of data at StatSig, interviews industry experts about data science's evolving career landscape and its comparison to other data roles.

5. 

   11 Aug 2025TRANSCRIPT

   The future of data in a world of AI

   Host [Host Name] interviews Shinji Kim, founder of Select Star, exploring how AI revolutionizes data quality and insight generation.

6. 

   30 Apr 2025TRANSCRIPT

   Why don’t startups hire data teams?

   Host [Host Name] interviews Kevin Hu, CEO of Metaplane, exploring why startups often delay hiring data teams despite their critical importance.

7. 

   9 Apr 2024TRANSCRIPT

   Wait!? I can’t do that analysis because I’m a manager? Exploring what it means to be a manager

   Host [Host Name] interviews data leader Mengying Li about the challenges and realities of transitioning from an individual contributor to a data management role.

8. 

   20 Feb 2024TRANSCRIPT

   A stacked bar chart please! Or how to actually use data to tell a story

   Weronika Gawarska, a Tableau community voice, shares insights on creating impactful data visualizations that tell a story, not just display data.

9. 

   25 Oct 2023TRANSCRIPT

   A/B testing is dead, but is it?

   Host [Host Name] interviews Nathaniel, Product Marketing Lead at Offerfit, exploring the relevance and future of A/B testing in marketing strategies.

10. 

    26 Sept 2023TRANSCRIPT

    Why are so few data people product managers?

    Seasoned Product Manager Kelly Chou explains to host [Host Name] why so few data professionals transition into product management roles.

11. 

    26 Sept 2023

    Data Party -> The intro!

    What on earth is a data party?

Inside a recent episode

Can AI Write a Hit Song? (Testing Google’s Music AI)

Published 5 Aug 2026 · Transcript excerpt

[…] So my overall recommendation is use this Google Flow Music as the thing to create the vocals, perhaps create the drums and perhaps create some form of melody. But to be honest, probably predominantly vocals. Then download it, put it into GarageBand and actually make an excellent track. So will Google Flow replace producers? It's clear from the video that at the moment, no. it can't actually do any editing of the song. My recommendation would be to use Google Flow to generate the vocals or the beat. That's where it's really strong. Moreover, you can use OpenAI in Cloud to create a prompt with things like BPM specified. […]

Who has been a guest on Data Party!

Names identified in recent episode analyses. Showing up to five guests.

• Timothy Chan
• Shinji Kim
• Kevin Hu
• Mengying Li
• Weronika Gawarska

Podcast Authority Score: 9 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

7

Social presence

0

YouTube

0

Engagement

27