The Data Scientist ShowVikram 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.
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
Making LLMs hallucinate less, how to diagnose ML models - Vikram Chatterji-TheDataScientistShow #066The Data Scientist Show2023-08-01 | 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.
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 startupThe art of sales (as an engineer), from PhD to sales engineer in AI - Mike LoThe Data Scientist Show2025-08-02 | Daliana’s newsletter: https://www.dalianaliu.blog/
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.
Evelyn was an analytics manager at Amazon, 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: youtube.com/@tapiocapressWhy I’m ending this show. Death, afterlife, Chinese philosophy, and what’s next? ft. Tina HuangThe Data Scientist Show2025-04-21 | I had a fun “funeral” of this show with Tina Huang, we talked about death, afterlife, and the various transitions as content creators. Join the newsletter with 20k readers to read my career stories here: https://www.dalianaliu.blog/How to Advance Your Career in Data Science - Daliana Liu and Jon Krohn - The Data Scientist Show #91The Data Scientist Show2025-04-07 | ➡️ Learn more about the DS Career Coaching Course: https://forms.gle/cQLQxJfNsf18b4Au7 I went on Super Data Science with Jon Kron to discuss how to accelerate your career in data science, why I paused the podcast, and how to navigate the industry's change.
Daliana's newsletter about career influence and personal branding: dalianaliu.kit.com/e0dcfc214bTo data consultantsThe Data Scientist Show2025-02-20 | 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.
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.Future of Data EngineeringThe Data Scientist Show2025-02-19 | 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 became an independent consultant and the current state of data engineering.
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.Current status of data engineeringThe Data Scientist Show2025-02-17 | 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 became an independent consultant and the current state of data engineering.
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.From Meta to independent data consultant, Ben Rogojan-the data scientist show#090The Data Scientist Show2025-02-17 | 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 engineerings.
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.Why data scientistsare frustrated? Here are 6 reasons - The Data Scientist Show #089The Data Scientist Show2024-04-25 | 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.
00:00:00 Introduction 00:01:50 Frustration with AI projects 00:02:03 Frustration with managers 00:02:26 Your manager needs to be a protector 00:03:38 How to be a good manager 00:05:33 How to protect yourself at work 00:06:08 What to say when pushing back requests 00:07:16 Frustration as a data scientist in healthcare 00:11:14 Data science feels transactional 00:14:10 Data science meetup feedbacks 00:14:48 Does he feel lonely? 00:17:59 How to hate job interviews less 00:18:34 What's draining for a VP of data science? 00:20:11 Frustration about follow-up request 00:22:40 Being a "trusted partner" 00:23:54 Why does she feel like a second-class citizen? 00:25:55 Daliana's story 00:28:59 Job stability in finance 00:30:58 Imposter syndrome 00:36:58 Frustration as an AI strategist and content creator 00:38:16 How Daliana plans her content 00:39:23 Context switching 00:41:01 How to manage your timeWhy 80% A/B tests fail - Kristi Angel - The Data Scientist Show #088The Data Scientist Show2024-04-25 | 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. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:01:21 Why do most experimentations fail? 00:06:60 Mistakes in choosing metrics 00:10:00 Is revenue a good metric? 00:13:13 Split metrics in three ways 00:15:05 Daliana's story with too many category breakdowns 00:16:54 What makes the best data science team? 00:19:19 Data scientist work in silo vs in a data science team 00:21:10 Building a knowledge center 00:23:35 Example of knowledge center; nuance of experimentations 00:26:04 How many metrics and variants? 00:30:51 How to reduce noise - CUPED 00:32:56 Future of A/B testing 00:38:28 Q&A: Low statistical powerFrom Physics PhD to MLOps builder - Julia Silge - The Data Scientist Show #087The Data Scientist Show2024-04-25 | 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.
00:00:00 Introduction 00:00:51 Getting into data science 00:04:45 Transition from data centers to engineering manager 00:13:59 Common challenges in tool development 00:17:33 Challenges with survey data 00:26:42 Engineering skills for data scientists 00:28:54 Balancing roles 00:34:44 Developing skills in Exploratory Data Analysis (EDA) 00:39:14 Python vs. R for data analysis 00:44:35 Exciting aspects in career and personal lifeWhy he created pandas, the future of data systems - Wes McKinney - The Data Scientist Show #086The Data Scientist Show2024-04-25 | 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. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:00:39 How Pandas Started 00:06:35 Voltron Data 00:09:58 Benefits of Easy-to-Use Data Tools 00:13:15 The Rise of New Data Tools 00:18:02 Choosing Tools: Vertical or Flexible? 00:22:56 Big Models and Data Tools 00:29:24 Challenges in Building a Product 00:31:23 Becoming a Top Architect 00:34:50 Missed Aspects of Previous Roles 00:38:59 A Busy Week: Advising, Designing, Investing 00:43:37 Improving Open Source 00:45:19 How to Decide What to Work On 00:46:23 What he’s learning now 00:47:51 Excitement in Career and Life 00:48:24 Using ChatGPT for Learning 00:50:22 Future Impact GoalsAdapters: the game changer for fine-tuning - Geoffrey Angus - The Data Scientist Show #084The Data Scientist Show2024-03-08 | 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 finetuning 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 finetuning for free: 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 RecapFrom data scientist to lifestyle business owner - Jay Feng - The Data Scientist Show #083The Data Scientist Show2024-03-05 | Jay Feng created a viral project using Seattle crime data and later got into data science. He later founded "Interview Query" helping data scientists get jobs. We'll talk about how he landed his data science job through his blog, and his journey from data scientist to founder. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:01:11 From engineer to data scientist 00:03:10 Got a job through a project 00:05:35 Daliana's portfolio project with Zillow 00:09:13 From data scientist to entreprenuer 00:13:19 "Tinder" for job 00:15:01 How he chose companies to work for 00:15:56 Why he became an entreprenuer 00:17:37 How many hours does he work 00:18:54 Challenges when building "interview query" 00:20:18 Speed vs scale 00:22:11 Growth hacks he used 00:24:22 YouTube vs newsletter 00:27:21 Lessons he learned as a CEO 00:29:16 How to grow from tech employee to founder 00:31:59 How he defines success 00:34:38 If you have a business idea for JayGenAI case studies - Erik Gafni - The Data Scientist Show #082The Data Scientist Show2024-03-05 | Erik Gafni builds AI systems and teams. He founded Eventum AI (bit.ly/eventum-ai), an ML consulting company working with high-growth startups. We talked about GenAI projects he worked on, how he built production ML systems, how to scale ML teams, and his journey from biologist to ML researcher. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:01:59 Is GenAI overhyped? 00:04:28 Ascent translation with AI 00:11:58 Social media app with AI 00:14:00 Stable diffusion model evaluation 00:15:57 "Consult-to-hire" model 00:17:35 AI in biotech 00:22:46 Self-supervised learning 00:31:22 How he hires people 00:33:19 Research vs production 00:35:57 Is AGI coming? 00:37:30 New trends in GenAI 00:41:45 Data quality in GenAI 00:42:58 Philosophy in LLMs 00:49:48 OpenAI vs Open Source 00:53:58 Mistakes he made 00:57:41 How did he get into MLHow To Optimize SQL - Jess Ramos - The Data Scientist Show #076The Data Scientist Show2024-02-28 | Full interview: youtube.com/watch?v=soF5zBZ9eQs&t=104s
Jess Ramos is a Senior Data Analyst at Crunchbase, a LinkedIn Learning Instructor, and a content creator in the data space. She has a bachelor's degree in Math, Spanish, and Business from Berry University and a master's in Business Analytics from University of Georgia. Today we’ll talk about SQL in the real world, data analyst vs data scientist, is job hopping bad, how she negotiated her salary. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Daliana's Twitter: twitter.com/DalianaLiu Daliana’s LinkedIn: linkedin.com/in/dalianaliuData science job market in 2024 - Jay Feng - The Data Scientist Show #081The Data Scientist Show2024-02-18 | Jay Feng is the CEO of interview query, a service that help data scientists get jobs. Previously he worked as a data scientist at Nextdoor, Monster. We talked about data science job market, the rise of AI engineering, and the softskills people overlook during interviews. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:01:09 Data science job market in 2024 00:09:14 Build projects with AI 00:16:27 Softskills in interviews 00:23:32 Daliana's story on "socializing ideas" 00:28:55 Common mistakes in interviews 00:35:56 Product DS vs ML interviews 00:36:51 Product analytics interview questions 00:39:45 Career transition in DS 00:43:40 Jay's career journey 00:46:15 Is there a principal data analyst? 00:52:30 AI engineer 00:55:06 New roles vs obsolete roles in DS 01:05:21 Is data science dead?How to handle getting laid off - Susan Shu Chang, Sundar Swaminathan - The Data Scientist Show #080The Data Scientist Show2024-02-09 | Today we’re joined by two data scientists who have firsthand experience with layoffs. We’ll talk about how to negotiate severance packages, how to handle stress, strategies for job hunting post-layoff, and how to reduce risks in full-time employment. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:06:13 Severance Negotiation 00:20:29 Identity crisis 00:26:22 Job search after layoff 00:30:21 Networking 00:35:23 Risk at pre-seed startups 00:37:03 How should data scientists pick companies 00:40:43 What to ask hiring managers 00:45:01 Does GenAI change interview processes? 00:47:17 Are data science teams getting leaner? 00:48:56 Future of data science roles 00:50:37 Full time employment and job security 00:53:46 Benefits of full time jobs 00:58:14 Reduce risk of being laid off 01:00:43 How to sell yourself 01:02:43 How to plan your finances 01:05:09 How to become an independent consultantFrom data analyst to sales engineer - Jenny Wu - The Data Scientist Show #079The Data Scientist Show2024-02-01 | Jenny Wu is a data analyst turned sales engineer for data products at Hex. We talked about sales engineer vs data analyst, how to design a career based on your personality, and how to transition into a customer-facing role. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:01:34 What is a Sales Engineer? 00:09:35 Sales Engineering Day-to-Day 00:13:09 Challenge in sales 00:21:37 Traits of Successful Salespeople 00:30:32 Stakeholder Engagement 00:36:24 Getting into customer-facing roles 00:43:55 Quitting her job to travel the world 00:48:05 Advice on Career Breaks 00:50:39 Embedding Career and Personal Goals 00:51:57 How do you achieve happiness?The future of data science teams - Barry McCardel - The Data Scientist Show #078The Data Scientist Show2024-01-29 | Barry McCardel is the cofounder and CEO of Hex(free trial: hex.tech/dsshow), a collaborative data workspace. Their customers include FiveTran, Notion, and Anthropic. We talked about what does the future of data team look like, how to tackle challenges of data team collaborations, and how to leverage AI in data science’s workflow.
00:00:00 Introduction 00:01:25 Is AI replacing data scientists? 00:06:08 Are data science teams getting smaller? 00:09:57 What is Hex? 00:11:26 How to communicate with stakeholders 00:24:33 Should data scientists be full stack? 00:31:27 How data team measure ROI 00:33:42 Quantitative vs qualitative analysis 00:35:39 When you shouldn't use data? Data vs product intuition 00:41:43 How to hire your first data team? 00:49:05 Is the modern data stack dead? 00:53:59 GenAI in data science workflows 00:59:02 Future of data scientist 01:02:33 New features in HexProduct data science for Microsoft AI - Sid Sharan - The Data Scientist Show #077The Data Scientist Show2024-01-16 | Siddhartha Sharan is a Senior Data and Applied Scientist at Microsoft, helping product teams make data-driven decisions. Currently he is working on an AI product built with OpenAI APIs for sentiment analysis. We talked about how he evaluates AI products built with large language models at Microsoft, product data science, and how he went from a business background to data science. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:05:20 How does Microsoft evaluate AI product 00:16:17 Using OpenAI API for sentiment analysis 00:25:29 Microsoft data science team culture 00:26:52 DS, PM collaboration 00:28:29 Three steps to build trust in data science 00:30:13 How did he got into Microsoft 00:34:09 Level up in Genetech 00:36:09 ML engineer vs Product DS 00:37:43 Core skills in product DS 00:40:20 Hiring 00:42:47 How to deal with burnout 00:45:03 Should you over work to earn trust? 00:45:44 Daliana's story about first day at Amazon 00:49:54 Will AI replace data scientists? 00:51:32)Data scientist's role of GenAI 00:54:32 How to keep up with GenAIDouble your salary as a data analyst - Jess Ramos - The Data Scientist Show #076The Data Scientist Show2024-01-05 | Jess Ramos is a Senior Data Analyst at Crunchbase, a LinkedIn Learning Instructor, and a content creator in the data space. She has a bachelor's degree in Math, Spanish, and Business from Berry University and a master's in Business Analytics from University of Georgia. Today we’ll talk about SQL in the real world, data analyst vs data scientist, is job hopping bad, how she negotiated her salary. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:01:24 Why Jess left her job at Freddie Mac 00:03:25 Is job hopping bad 00:04:42 How to explain short job stints when interviewing 00:06:49 Jess's day-to-day work and tech stack 00:09:15 SQL in the real world 00:12:10 How to talk data to stakeholders 00:18:33 How Jess prepares for SQL interviews 00:28:11 Data analysts vs data scientists 00:32:11 Choosing a career path 00:47:19 How to ask recruiter questions 00:50:15 Jess's LinkedIn content creation journey 00:59:03 The future of Jess's career 01:03:42 Jess's favorite booksIs a PhD worth it? - Jason Yosinski - The Data Scientist Show #070The Data Scientist Show2023-12-20 | Full interview: youtu.be/9k-nW8ce9yU
Jason Yosinski was a founding member of Uber AI Labs. He is also a co-founder of WinscapeAI a company dedicated to using custom sensor networks and machine learning to increase the efficiency and sustainability of wind farms. Jason holds a PhD in computer science from Cornell University. We talked about his experience at Uber AI, his research in deep learning, and ML for wind farms. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Che Sharma came back to discuss toxic behaviors in experimentation culture and provide actionable advice on how to handle those situations, how to have rigor and integrity when designing and analyzing A/B tests.
Che 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: linkedin.com/in/chetanvsharma Daliana's Twitter: twitter.com/DalianaLiu Daliana's LinkedIn: linkedin.com/in/dalianaliuHow he got into machine learning and GenAI at Amazon - Mehdi Noori - The Data Scientist Show #075The Data Scientist Show2023-12-18 | Mehdi Noori is an applied science manager at the Generative AI Innovation Center at Amazon. I used to work with Mehdi while we were at the Machine Learning Solutions Lab at AWS. So before Amazon, Maddie was a data scientist working on marketing intelligence. Mehdi has a PhD from University of Central Florida in civil engineering and sustainability. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Jason Yosinski was a founding member of Uber AI Labs. He is also a co-founder of WinscapeAI a company dedicated to using custom sensor networks and machine learning to increase the efficiency and sustainability of wind farms. Jason holds a PhD in computer science from Cornell University. We talked about his experience at Uber AI, his research in deep learning, and ML for wind farms. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
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.
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.
Jason Yosinski was a founding member of Uber AI Labs. He is also a co-founder of WinscapeAI a company dedicated to using custom sensor networks and machine learning to increase the efficiency and sustainability of wind farms. Jason holds a PhD in computer science from Cornell University. We talked about his experience at Uber AI, his research in deep learning, and ML for wind farms. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Che Sharma came back to discuss toxic behaviors in experimentation culture and provide actionable advice on how to handle those situations, how to have rigor and integrity when designing and analyzing A/B tests.
Che 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.
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.
My friend Misty moved to a farm in Portugal after her 20 years of career in finance. We talked about her experience moving from the busy corporate life to the farm life where she does a lot of manual work. Was it challenging, how does her finance work, and what is her advice to other people who also want to explore a different path outside of the modern city life. I hope this episode will give you a different perspective about your career.
Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Pan Wu is a senior manager of data science at Meta. After finishing his PhD from Duke University, he started his career in machine learning engineering and applied science, later he focused more on product data science. Before Meta, he worked in TrueCar, Uber, and LinkedIn. Pan has a decade-long expertise in machine learning and data science. Today we’ll talk about why he moved from machine learning to product data science, projects he worked on at Uber, Linkedin, and Meta, and how he compares the culture among those companies and how he transitioned from IC to manager. If you like the show, subscribe to the channel, give me a five-star review and leave a comment. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Pan’s LinkedIn: linkedin.com/in/panwu/ Daliana's Twitter: twitter.com/DalianaLiu Daliana’s LinkedIn: linkedin.com/in/dalianaliuFrom finance director to farmer at Portugal - Misty Arnold - The Data Scientist Show #074The Data Scientist Show2023-12-01 | My friend Misty moved to a farm in Portugal after her 20 years of career in finance. We talked about her experience moving from the busy corporate life to the farm life where she does a lot of manual work. Was it challenging, how does her finance work, and what is her advice to other people who also want to explore a different path outside of the modern city life. I hope this episode will give you a different perspective about your career.
Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:11:41 Life on the farm 00:15:46 Her finance plans 00:22:55 Her career journey 00:27:14 What do accountants do 00:32:29 I thought I would be happy 00:41:25 Daliana's personal view about finance; when it's enough for you 00:44:41 Does she feel lonely on a farm? 00:48:39 What if she didn't leave the corporate world? 00:54:07 Does she regret her decisionProduct Data Science vs Machine Learning - Pan Wu - The Data Scientist Show #073The Data Scientist Show2023-11-29 | Pan Wu is a senior manager of data science at Meta. After finishing his PhD from Duke University, he started his career in machine learning engineering and applied science, later he focused more on product data science. Before Meta, he worked in TrueCar, Uber, and LinkedIn. Pan has a decade-long expertise in machine learning and data science. Today we’ll talk about why he moved from machine learning to product data science, projects he worked on at Uber, Linkedin, and Meta, and how he compares the culture among those companies and how he transitioned from IC to manager. If you like the show, subscribe to the channel, give me a five-star review and leave a comment. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
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 hiringMachine Learning in school vs in reality - Jason Yosinski - The Data Scientist Show #070The Data Scientist Show2023-11-20 | Full interview: youtube.com/watch?v=9k-nW8ce9yU
Jason Yosinski was a founding member of Uber AI Labs. He is also a co-founder of WinscapeAI a company dedicated to using custom sensor networks and machine learning to increase the efficiency and sustainability of wind farms. Jason holds a PhD in computer science from Cornell University. We talked about his experience at Uber AI, his research in deep learning, and ML for wind farms. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Jason’s Website: yosinski.com Jason’s LinkedIn: linkedin.com/in/jasonyosinski Daliana's Twitter: twitter.com/DalianaLiu Daliana's LinkedIn: linkedin.com/in/dalianaliuMachine Learning in Cybersecurity - Betty Zhang - The Data Scientist Show #072The Data Scientist Show2023-11-12 | 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.
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 scientistsStop abusing A/B testing, toxic experimentation culture - Che Sharma - The Data Scientist Show #071The Data Scientist Show2023-11-08 | Che Sharma came back to discuss toxic behaviors in experimentation culture and provide actionable advice on how to handle those situations, how to have rigor and integrity when designing and analyzing A/B tests.
Che 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: linkedin.com/in/chetanvsharma Daliana's Twitter: twitter.com/DalianaLiu Daliana's LinkedIn: linkedin.com/in/dalianaliuAcademia vs. Industry for Machine Learning - Jason Yosinski - The Data Scientist Show #070The Data Scientist Show2023-10-23 | Jason Yosinski was a founding member of Uber AI Labs. He is also a co-founder of WinscapeAI a company dedicated to using custom sensor networks and machine learning to increase the efficiency and sustainability of wind farms. Jason holds a PhD in computer science from Cornell University. We talked about his experience at Uber AI, his research in deep learning, and ML for wind farms. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
00:00:00 Introduction 00:06:06 His advice for Uber ML teams 00:16:03 From research to industry 00:20:24 ML for wind farms 00:25:40 Metrics for wind energy prediction 00:29:23 Start with a small dataset 00:32:00 ML in academia vs. the industry 00:33:24 Do you need a PhD for ML? 00:38:14 Daliana's story about grad school 00:41:37 The value of a PhD 00:43:13 ML Collective 00:48:36 Technical communication 00:57:21 ML Skillsets 00:59:45 Future of machine learning 01:05:23 Personal development: Hoffman process 01:15:13 Do things that excites youAds forecasting at Netflix and Spotify - Jeff Li - The Data Scientist Show #069The Data Scientist Show2023-10-20 | 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.
00:00:00 Introduction 00:00:45 Got into data science from poker and consulting 00:07:54 Ads forecasting at Netflix and Spotify 00:13:30 From IC to manager to IC 00:14:53 how to measure forecasting models 00:21:58 collaborating with stakeholders in sales 00:29:44 how he became an expert in ads forecasting 00:49:57 impact sizing at Doordash 00:57:34 Company culture differences (DoorDash, Spotify, Netflix) 01:12:47 how he wants to grow his careerHow to handle outliers in A/B Testing - Che Sharma - The Data Scientist Show #068The Data Scientist Show2023-09-11 | Full interview: youtube.com/watch?v=erW_AvYRERo
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.
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.A/B testing at Airbnb - Che Sharma - The Data Scientist Show #068The Data Scientist Show2023-08-25 | 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.
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 experimentation3 challenges for LLMs in production - Vikram Chatterji -TheDataScientistShow #066The Data Scientist Show2023-08-21 | Full interview: youtu.be/elrpDJWOfm8
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.
Vikram Chatterji’s LinkedIn: https://www.linkedin.com/in/vikram-ch... "The Mom Test": https://www.amazon.com/The-Mom-Test-R... Daliana's Twitter: twitter.com/DalianaLiu Daliana's LinkedIn: linkedin.com/in/dalianaliuSolving real problems with mixed martial arts - Max Pumperla - The Data Scientist Show #065The Data Scientist Show2023-08-18 | Full interview: youtu.be/3951WpStCQg
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-pumpe... Max's GitHub: github.com/maxpumperla Daliana's Twitter: twitter.com/DalianaLiu Daliana's LinkedIn: linkedin.com/in/dalianaliuFrom data scientist@Meta to full-time YouTuber (500k+ sub)-Tina Huang - The Data Scientist Show #067The Data Scientist Show2023-08-17 | We talked about self-learning, productivity, how Tina navigates her career change and how she thinks AI could change the future of work.
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 BreakdownLarge language models in enterprises - Vikram Chatterji - TheDataScientistShow #066The Data Scientist Show2023-08-16 | Full interview: youtu.be/elrpDJWOfm8
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.
Vikram Chatterji’s LinkedIn: https://www.linkedin.com/in/vikram-ch... "The Mom Test": https://www.amazon.com/The-Mom-Test-R... Daliana's Twitter: twitter.com/DalianaLiu Daliana's LinkedIn: linkedin.com/in/dalianaliuThe art of reinforcement learning - Max Pumperla - The Data Scientist Show #065The Data Scientist Show2023-08-07 | Full interview: youtu.be/3951WpStCQg
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-pumpe... Max's GitHub: github.com/maxpumperla Daliana's Twitter: twitter.com/DalianaLiu Daliana's LinkedIn: linkedin.com/in/dalianaliuData Science Mix Martial Arts,applied re-inforcement learning-MaxPumperla-TheDataScientistShow#065The Data Scientist Show2023-07-28 | 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.
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