Why I’m ending this show. Death, afterlife, Chinese philosophy, and what’s next? Daliana Liu ft. Tina Huang #92
I had a fun “funeral” of this show with Tina Huang, we talked about death, afterlife, and the various transitions as content creators. Get coached by Daliana:• DS/ML Career Accelerator• Personal Branding Accelerator• Join the newsletter with 20k readers to read my career stories here.
--------
44:24
Unfiltered advice - How to advance your career in data science & ML - The Data Scientist Show with Daliana Liu and Jon Krohn #091
➡️ Learn more about the DS Career Coaching Course.I went on Super Data Science with Jon Krohn to discuss how to accelerate your career in data science, why I paused the podcast, and how to navigate the industry's change.Join 20k subscribers to read more about career influence and personal branding. Subscribe here.
--------
1:33:38
From Meta to independent data consultant, Seattle Data Guy moved to Denver, Ben Rogojan, the data scientist show #090
Ben Rogojan, aka, Seattle data guy is an ex-Meta data engineer turned data engineering consultant and YouTuber. He has 100k followers each on YouTube and LinkedIn. We talked about how he become an independent consultant and the current state of data engineering.- Ben’s LinkedIn: https://www.linkedin.com/in/benjaminrogojan/- Daliana’s newsletter on career growth and personal branding: https://dalianaliu.kit.com/profileHi! I'm Daliana Liu Join 20,000+ subscribers to read the career lessons from my 7-year experience at Amazon and my solo-founder journey.
--------
1:02:13
Why data scientists are tired, six real data scientists' frustrations - The Data Scientist Show #089
Daliana interviewed 6 data scientists from her meetup in New York City. It's a unique episode where you get to hear the real frustrations of data scientists. We talked about struggles working in healthcare, finance, data quality and AI, how to advocate for yourself, and align with your managers.
Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Daliana's Twitter: https://twitter.com/DalianaLiu
Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/
--------
42:22
Why 80% of A/B tests fail, how to 10X your experimentation velocity - Kristi Angel - The Data Scientist Show #088
Most experimentations fail, Kristi Angel shares her expertise on scaling experimentation and avoiding common A/B testing pitfalls. Learn five things that can help boost test velocity, designing impactful experiments, and leveraging knowledge repos. (Chapters below)
Kristi Angel’s LinkedIn: https://www.linkedin.com/in/kristiangel/
Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Daliana's Twitter: https://twitter.com/DalianaLiu
Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/
(00:00:00) Intro
(00:01:26) Why do most experimentations fail?
(00:07:05) Mistakes in choosing metrics
(00:10:05) Is revenue a good metric?
(00:13:18) Split metrics in three ways
(00:15:10) Daliana's story with too many category breakdowns
(00:16:59) What makes the best data science team?
(00:19:24) Data scientist work in silo vs in a data science team
(00:21:15) Building a knowledge center
(00:23:40) Example of knowledge center; nuance of experimentations
(00:26:09) How many metrics and variants?
(00:30:56) How to reduce noise - CUPED
(00:33:01) Future of A/B testing
(00:38:33) Q&A: Low statistical power
A deep dive into data scientists' day-to-day work, tools and models they use, how they tackle problems, and their career journeys. This podcast helps you grow a successful career in data science. Listening to an episode is like having lunch with an experienced mentor. Guests are data science practitioners from various industries, AI researchers, economists, and CTOs of AI companies. Host: Daliana Liu, an ex-Amazon senior data scientist with 180k followers on Linkedin.
Join 20k subscribers at www.dalianaliu.com to learn more about data science, career, and this show. Twitter @DalianaLiu.
UK