Jeff Li is a senior data scientist at Netflix, focusing on Ads forecast. Previously he was a data science manager at Spotify, worked on supply forecasting, demand forecasting, and data infrastructure. He studied business at the University of Southern California. We talked about Ads forecasting, career path as a manager vs IC, culture in Spotify vs Netflix vs Doordash. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Jeff Li’s LinkedIn: https://www.linkedin.com/in/lijeffrey/ Daliana's Twitter: https://twitter.com/DalianaLiu Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu

Che Sharma was the 4th data scientist at Airbnb, later he joined Webflow as an early employee. In 2021 he founded Eppo, a next-gen A/B experimentation platform designed for modern data and product teams to run more trustworthy and advanced experiments. We talked about A/B testing best practices, A/B testing for ML models, and Che’s career journey. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Che’s LinkedIn: https://www.linkedin.com/in/chetanvsharma/ Try Eppo for A/B testing: https://www.geteppo.com/ Daliana's Twitter: https://twitter.com/DalianaLiu Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu (00:00:00) Introduction (00:01:26) Getting started in data science at Airbnb (00:03:08) Keys to successful A/B testing (00:06:53) Interpreting and communicating A/B test results (00:15:00) A/B testing best practices testing machine learning models (00:41:39) Centralizing experiment analysis (00:53:46) Preparing data scientists for the future (00:59:33) Developing communication skills as a data scientist (01:08:43) Transitioning from individual contributor to manager (01:12:28) The future of experimentation

We talked about self-learning, productivity, how Tina navigates her career change and how she thinks AI could change the future of work. Tina's YouTube: www.youtube.com/@TinaHuang1 Lonely Octopus: www.lonelyoctopus.com Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Tina Huang is a data scientist turned YouTube creator with 500k subscribers. She is the founder of Lonely Octopus, an online program helping people gain data science, AI, and freelancing skills. She originally studied pharmacology before transitioning into tech, completing a master's degree in computer science at UPenn. (00:02:38) Transitioning from Data Science to Content Creation (00:06:29) Preparing for Data Science Interviews (00:10:59) Starting a YouTube Channel (00:14:18) Building Multiple Income Streams (00:17:35) Getting Started with AI Skills (00:29:29) Advice for Starting YouTube (00:34:47) Improving Storytelling Skills (00:36:58) Overcoming Procrastination (00:42:33) The Future of Work (01:47:08) Looking to the Future (01:26:49) Income Breakdown

Vikram is the co-founder of Galileo – an AI diagnostics and explainability platform used by data science teams building NLP, LLMs and Computer Vision models across the Fortune 500 and high growth startups. 
 Prior to Galileo, Vikram led Product Management at Google AI, where his team built models for the Fortune 2000 across retail, financial services, healthcare and contact centers. He has a master degree from Carnegie Mellon University from the school of computer science. If you enjoy the show, subscribe to the channel and leave a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Resources:LLM Studio: https://www.rungalileo.io/blog/announcing-llm-studio Galileo: https://www.rungalileo.io/ Blog on LLM Hallucination: https://thesequence.substack.com/p/guest-post-stop-hallucinations-from Vikram Chatterji’s LinkedIn: https://www.linkedin.com/in/vikram-chatterji/ "The Mom Test": https://www.amazon.com/The-Mom-Test-Rob-Fitzpatrick-audiobook/dp/B07RJZKZ7F Daliana's Twitter: https://twitter.com/DalianaLiu Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu (00:00:00) Introduction (00:04:24) How he got into machine learning (00:06:53) Diagnosing large language models (00:09:56) Addressing model hallucination (00:12:46) Metrics for measuring hallucination (00:17:30) From Google AI to starting Galileo (00:24:08) Developing LLMs and putting them into production (00:32:51) Galileo's diagnostics and explainability platform (00:43:16)  Advice for data scientists when joining a startup

Max Pumperla designed his own career path in data science. He is a freelance software engineer at AnyScale, and also a data science professor. We talked about reinforcement learning, open source contributions, Ray for data scientists, and his view on the data scientists role. If you enjoy the show, subscribe to the channel and leave a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Max’s LinkedIn: https://www.linkedin.com/in/max-pumperla-a8099354/ Max's GitHub: https://github.com/maxpumperla Daliana's Twitter: https://twitter.com/DalianaLiu Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu (00:00:00) Introduction (00:09:19) How he got a remote job through Twitter (00:14:06) Introduction to Ray (00:18:52) Reinforcement learning (00:23:56) Key lessons on integrating customer feedback (00:35:12) Flaws in data science job titles (00:45:51) How to be irreplaceable as a data scientist (00:48:55) An unconventional career path as a data scientist (01:12:24) Productivity and work-life balance (01:28:10) Advice for building a personal brand