The Data Scientist Show
Data Science in Transportation - Holger Teichgraeber - The Data Scientist Show #063
updated
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: linkedin.com/in/hellomikelo
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/@tapiocapress
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/e0dcfc214b
- Ben’s LinkedIn: linkedin.com/in/benjaminrogojan/
- Daliana’s newsletter on career growth and personal branding: 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.
- Ben’s LinkedIn: linkedin.com/in/benjaminrogojan
- Daliana’s newsletter on career growth and personal branding: 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.
- Ben’s LinkedIn: linkedin.com/in/benjaminrogojan
- Daliana’s newsletter on career growth and personal branding: 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.
- Ben’s Linkedin: linkedin.com/in/benjaminrogojan
- Daliana’s newsletter on career growth and personal branding: 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.
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/dalianaliu
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 time
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
Kristi Angel’s LinkedIn: linkedin.com/in/kristiangel
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 power
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu/
Julia’s LinkedIn: linkedin.com/in/juliasilge
Julia’s Website: juliasilge.com
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 life
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu/
Wes' LinkedIn: linkedin.com/in/wesmckinn
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 Goals
Geoffrey’s LinkedIn:linkedin.com/in/geoffreyangus
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu/
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
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu/
Jay Feng's LinkedIn: linkedin.com/in/jay-feng-ab66b049/
Jay Feng's YouTube: youtube.com/c/DataScienceJay
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 Jay
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu/
Erik’s LinkedIn: linkedin.com/in/erik-gafni-906b0125
Interested in working with Erik: bit.ly/erik-consulting
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 ML
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.
Jess’ Linkedin: linkedin.com/in/jessramosmsba
Preparing to Get a Job in Data Analytics: shorturl.at/sCNPT
Solve Real-World Data Problems with SQL: bit.ly/3Zq6wnd
Big Data Energy Newsletter: bit.ly/46x4rIR
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
Jay Feng's LinkedIn: linkedin.com/in/jay-feng-ab66b049
Jay Feng's YouTube: youtube.com/c/DataScienceJay
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?
Working with Daliana on personal branding: https://forms.gle/heNuZzaHjaAMQwLu6
Daliana’s email: daliana@dalianaliu.com
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
Susan Shu Chang
LinkedIn: linkedin.com/in/susan-shu-chang
Newsletter: http://susanshu.substack.com
Sundar Swaminathan
LinkedIn: linkedin.com/in/sswamina3
Website: sundarswaminathan.com
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 consultant
Jenny’s LinkedIn: linkedin.com/in/jenny-wu-05903794
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
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?
60-day free trial for listeners: hex.tech/dsshow
Barry’s LinkedIn: linkedin.com/in/barrymccardel
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 Hex
Sid’s LinkedIn: linkedin.com/in/siddharthasharan/
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
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 GenAI
Jess’ Linkedin: linkedin.com/in/jessramosmsba
Preparing to Get a Job in Data Analytics: shorturl.at/sCNPT
Solve Real-World Data Problems with SQL: bit.ly/3Zq6wnd
Big Data Energy Newsletter: bit.ly/46x4rIR
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
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 books
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/dalianaliu
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/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
Mehdi Noori: linkedin.com/in/mehdi-noori
Predicting Soccer Goals: aws.amazon.com/blogs/machine-learning/predicting-soccer-goals-in-near-real-time-using-computer-vision
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/dalianaliu
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: linkedin.com/in/betty-zhang-0bb63731
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
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: linkedin.com/in/lijeffrey
Daliana's Twitter: twitter.com/DalianaLiu
Daliana's LinkedIn: linkedin.com/in/dalianaliu
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/dalianaliu
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/dalianaliu
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: linkedin.com/in/betty-zhang-0bb63731
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
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.
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
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/dalianaliu
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/dalianaliu
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 decision
Pan’s LinkedIn: linkedin.com/in/panwu/
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: 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
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/dalianaliu
Betty’s Linkedin: linkedin.com/in/betty-zhang-0bb63731
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: 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 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/dalianaliu
Jason’s Website: yosinski.com
Jason’s LinkedIn: linkedin.com/in/jasonyosinski
Daliana's Twitter: twitter.com/DalianaLiu
Daliana's LinkedIn: linkedin.com/in/dalianaliu
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 you
Jeff Li’s LinkedIn: linkedin.com/in/lijeffrey
Daliana's Twitter: twitter.com/DalianaLiu
Daliana's LinkedIn: linkedin.com/in/dalianaliu
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 career
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/chetanvsh...
Try Eppo for A/B testing: geteppo.com
Daliana's Twitter: twitter.com/DalianaLiu
Daliana's LinkedIn: linkedin.com/in/dalianaliu
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: 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.
Che’s LinkedIn: linkedin.com/in/chetanvsharma
Try Eppo for A/B testing: geteppo.com
Daliana's Twitter: twitter.com/DalianaLiu
Daliana's LinkedIn: 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
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/dalianaliu
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/dalianaliu
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.
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/dalianaliu
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/dalianaliu
Resources:
LLM Studio: rungalileo.io/blog/announcing-llm-studio
Galileo: rungalileo.io
Blog on LLM Hallucination: thesequence.substack.com/p/guest-post-stop-hallucinations-from
Vikram Chatterji’s LinkedIn: linkedin.com/in/vikram-chatterji
"The Mom Test": amazon.com/The-Mom-Test-Rob-Fitzpatrick-audiobook/dp/B07RJZKZ7F
Daliana's Twitter: twitter.com/DalianaLiu
Daliana's LinkedIn: 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’s LinkedIn: linkedin.com/in/max-pumperla-a8099354
Max's GitHub: github.com/maxpumperla
Daliana's Twitter: twitter.com/DalianaLiu
Daliana's LinkedIn: 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


