Daliana's Game

Former finance professional, Misty Arnold, discusses her decision to quit her job and become a farmer. She shares her experience transitioning from the corporate world to farm life, achieving financial sustainability, and embracing uncertainty. Misty reflects on the collaborative nature of her job, handling stress, and making connections in her new community. She debunks misconceptions about farming and highlights the convenience of modern farms. Misty encourages others to save money before pursuing a different path and allowing enough time to adjust to a new way of living.

Pan Wu is a senior manager of data science at Meta. We talked about why he moved from machine learning to product data science, projects he worked on at Uber, Linkedin, and Meta, and how he transitioned from IC to manager. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.Pan’s LinkedIn: https://www.linkedin.com/in/panwu/Daliana's Twitter: https://twitter.com/DalianaLiuDaliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/(00:00:00) Introduction(00:01:30) Why he transitioned from MLE to product DS(00:07:38) Meta data scientists skill sets(00:15:49) When did his interest shifted from MLE to product DS(00:18:04) Is MLE more respected?(00:25:46) A/B testing deep dives in 3 steps(00:28:21) Built a tool at Linkedin(00:35:52) How to sell your project(00:41:07) Junior vs senior data scientist(00:43:24) From staff data scientist to manager(00:45:18) Explore being a manager(00:46:24) Cultures in Uber, Linkedin, TrueCar(00:52:09) Data science over the past 10 year(00:55:06) MLE vs DS fun and frustration(00:57:26) Product DS reality(00:59:10) Learning new skills(01:01:39) Mistakes he made(01:06:34) Future of data science(01:08:04) Will data scientists be replaced by AI(01:09:42) Three skills he looks for when hiring

Betty Zhang is a data scientist currently working at a cloud security company, previously she was a data scientist at Amazon Web Services. Today we’ll talk about her computer vision projects in Sports, data science use cases in cyber security, from business major to data scientist, what’s her experience working in startups vs big tech companies. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.Betty’s Linkedin: https://www.linkedin.com/in/betty-zhang-0bb63731/Daliana's Twitter: https://twitter.com/DalianaLiuDaliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/(00:00:00) Introduction(00:01:21) Computer Vision Project in Sports at AWS(00:12:28) Challenges in computer vision(00:14:02) Time allocation for ML projects(00:15:22) 3 key skills for computer vision(00:17:20) From business analyst to ML engineer(00:18:14) How she got her data scientist job through Linkedin(00:21:32) How she got into Amazon(00:22:17) Three tech skills needed during Amazon interviews(00:26:11) Why she joined a Cyber Security startup(00:27:22) Three cybersecurity use cases(00:29:47) Anomaly detection(00:30:40) ML for cybersecurity(00:34:43) Tech stacks Amazon vs Startups(00:39:35) Startups vs big tech(00:45:56) Balance learning and impact(00:48:35) Advice for new data scientists

Che Sharma, former data scientist at Airbnb and founder of Eppo, discusses toxic behaviors in experimentation culture, A/B testing best practices, and A/B testing for ML models on The Data Scientist Show. Topics include statistical power, effect size, monitoring metrics, alternative methods to A/B testing, difference in differences method, and A/B testing in ML and AI.

Jason Yosinski, founding member of Uber AI Labs and co-founder of WinscapeAI, discusses academia vs. industry in machine learning, challenges of understanding neural networks, ML for wind farms, and the significance of metrics in evaluating models. They also explore hobbies, personal development retreats, and the power and pitfalls of patterns in behavior.

Jeff Li, a senior data scientist at Netflix and former data science manager at Spotify, discusses ads forecasting, career paths as a manager vs IC, and the culture differences at Spotify, Netflix, and Doordash. They also talk about the challenges of forecasting in finance and ads, detecting and accounting for seasonality and black swan events in advertising, transitioning from manager to senior data scientist, comparing company cultures, changes in tech stacks and data visualization tools, the future of forecasting, the importance of mentors in career growth, and the role of communication skills for data scientists.

Che Sharma, former data scientist at Airbnb and founder of Eppo, talks about A/B testing best practices, A/B testing for ML models, and his career journey. They discuss successful A/B testing, interpreting and communicating test results, A/B testing best practices for ML models, centralizing experiment analysis, preparing data scientists for the future, developing communication skills, transitioning to a manager role, and 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/@TinaHuang1Lonely Octopus: www.lonelyoctopus.comSubscribe 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-studioGalileo: https://www.rungalileo.io/Blog on LLM Hallucination: https://thesequence.substack.com/p/guest-post-stop-hallucinations-fromVikram Chatterji’s LinkedIn: https://www.linkedin.com/in/vikram-chatterji/"The Mom Test": https://www.amazon.com/The-Mom-Test-Rob-Fitzpatrick-audiobook/dp/B07RJZKZ7FDaliana'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/maxpumperlaDaliana's Twitter: https://twitter.com/DalianaLiuDaliana'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