I'm Daliana Liu, an ex-Amazon data scientist turned career coach and content creator with 300k followers on LinkedIn. I interview data science and AI practitioners on how they tackle practical problems and navigate career challenges. We cover both technical skills and soft skills. Each conversation is like having lunch with a mentor and friend. I share more about my career adventure and the lessons I learned with 22k subscribers, join here: https://www.dalianaliu.blog/
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60 recent
August 2, 20251 hr 3 min
The art of selling (as an engineer), from physics PhD to sales engineer at Databricks with Daliana's old friend Mike Lo - Daliana's Game 02
Daliana’s newsletter on how to find your edge in the AI age and live events: https://dalianaliu.kit.com/e0dcfc214b Daliana interviewed her friend of 10 years, Mike Lo, on how he went from a physics PhD to Sales Engineer at Databricks, and fun stories of their friendship in LA. Mike Lo’s Linkedin: https://www.linkedin.com/in/hellomikelo/
July 16, 202551 min
Why she quit Amazon to become a Vlogger, creator economy, Evelyn - Daliana’s Game - 01
Daliana’s newsletter on how to navigate your career in the AI age: https://dalianaliu.kit.com/e0dcfc214b Evelyn was an analytics manager at Amazon and now full time vlogger. We talked about how she became a vlogger, how she navigated her career after leaving Amazon, and what she learned about the creator economy. Evelyn’s YouTube: https://www.youtube.com/@tapiocapress Daliana's Linkedin: https://www.linkedin.com/in/dalianaliu/
April 21, 2025Episode 9244 min
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 .
April 1, 2025Episode 911 hr 33 min
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 .
February 17, 2025Episode 901 hr 2 min
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/profile Hi! 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.
April 17, 202442 min
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/
April 8, 202443 min
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
March 30, 202446 min
From physics PhD to data science leader, unexpected challenges in survey data, Python vs R, EDA best practices, building MLOps toolkit - Julia Silge - The Data Scientist Show #087
Julia Silge is an engineering manager at Posit PBC, formerly know as R-studio, where she leads a team of developers building open source software MLOps. Before Posit, she finished a PhD in astrophysics, worked for several years in the nonprofit space, and was a data scientist at Stack Overflow where some of her most public work involved the annual developer survey. We talked about MLOps tools, challenges in survey data, text analysis, and balancing her interests in data science and engineering. 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) Introduction (00:00:56) Getting into data science (00:04:50) Transition from data centers to engineering manager (00:14:04) Common challenges in tool development (00:17:38) Challenges with survey data (00:26:47) Engineering skills for data scientists (00:28:59) Balancing roles (00:34:49) Developing skills in Exploratory Data Analysis (EDA) (00:39:19) Python vs. R for data analysis (00:44:40) Exciting aspects in career and personal life
March 22, 202452 min
Why he created Pandas, the future of data systems, why he left his CTO role to become a chief architect - Wes McKinney - The Data Scientist Show #086
Wes McKinney is the co-creator of pandas library and he is the cofounder of Voltron data. Currently he is a principal Architect at Posit and an investor in data systems. Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ Wes' LinkedIn: https://www.linkedin.com/in/wesmckinn/ (00:00:00) Introduction (00:00:44) How Pandas Started (00:06:40) Voltron Data (00:10:03) Benefits of Easy-to-Use Data Tools (00:13:20) The Rise of New Data Tools (00:18:07) Choosing Tools: Vertical or Flexible? (00:23:01) Big Models and Data Tools (00:29:29) Challenges in Building a Product (00:31:28) Becoming a Top Architect (00:34:55) Missed Aspects of Previous Roles (00:39:04) A Busy Week: Advising, Designing, Investing (00:43:42) Improving Open Source (00:45:24) How to Decide What to Work On (00:46:28) What he’s learning now (00:47:56) Excitement in Career and Life (00:48:29) Using ChatGPT for Learning (00:50:27) Future Impact Goals
March 8, 202452 min
Adapters: the game changer for fine-tuning - Geoffrey Angus - The Data Scientist Show #084
I interviewed Geoffery Angus, ML team lead @Predibase to talk about why adapter-based training is a game changer. We started with an overview of fine-tuning and then discussed five reasons why adapters are the future of LLMs. Later we also shared a demo and answered questions from the live audience. Try fine-tuning for free: https://pbase.ai/GetStartedGeoffrey’s LinkedIn:https://www.linkedin.com/in/geoffreyangusDaliana's Twitter: https://twitter.com/DalianaLiuDaliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ Geoffrey’s LinkedIn: https://www.linkedin.com/in/geoffreyangus Try finetuning for free: https://pbase.ai/GetStarted (00:00:00) Intro (00:01:19) What is Fine-tuning? (00:08:18) Utilizing Adapters for Finetuning Enhancement (00:09:50) 5 reasons why adapters are the future of LLMs (00:26:34) Common Mistakes in Adapters Usage (00:28:34) Training Your Own Adapter (00:32:23) Behind the Scenes of the Adapter Training Process (00:37:51) Config File Guidance for Fine-Tuning (00:39:41) Debugging Strategies for Suboptimal Fine-Tuning Results (00:42:23) User Queries: Creating a LoRa Adapter and Future Support (00:51:06) Key Takeaways and Recap
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