Daliana Liu
The Data Scientist Show
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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Ads forecasting at Netflix and Spotify, how to build your personal moat - Jeff Li - The Data Scientist Show #069 14.09.2023 1:26:29
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 newsle...
A/B testing at Airbnb, building next-gen experimentation platform at Eppo - Che Sharma - The Data Scientist Show #068 25.08.2023 1:14:15
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.dalianali...
From data scientist@Meta to full-time YouTuber (500k+ sub), AI engineering, future of work - Tina Huang - The Data Scientist Show #067 10.08.2023 1:54:52
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...
Making LLMs hallucinate less, how to diagnose ML models, from PM in Google AI to CEO of Galileo - Vikram Chatterji - The Data Scientist Show #066 01.08.2023 1:26:50
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 maste...
Data Science "Mix Martial Arts", applied re-inforcement learning, scaling AI workloads using Ray - Max Pumperla - The Data Scientist Show #065 28.07.2023 1:53:28
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.daliana...
Uber's ML Systems (Uber Eats, Customer Support), Declarative Machine Learning - Piero Molino - The Data Scientist Show #064 04.07.2023 1:50:05
Piero Molino was one of the founding members of Uber AI Labs. He worked on several deployed ML systems, including an NLP model for Customer Support, and the Uber Eats Recommender System. He is the author of Ludwig , an open source declarative deep learning framework. In 2021 he co-founded Predibase , the low-code declarative machine learning platform built on top of Ludwig. Piero's LinkedIn: https...
Data science in transportation, the intersection of operations research and ML - Holger Teichgraeber - The Data Scientist Show #063 26.06.2023 46:53
Holger Teichgraeber is a Data Science Manager at Archer Aviation. Previously, he worked at Convoy as a Research Scientist on their trucking marketplace, and at various companies in the energy space. Holger has a Bachelor's degree in Mechanical Engineering from Aachen, Germany, and a Masters and Ph. D. with research focus on machine learning and optimization applied to energy systems from Stanford...
Tackling data quality issues, 5 pillars of data observability, from management consultant to CEO of Monte Carlo - Barr Moses -The Data Scientist Show #062 18.05.2023 1:21:31
Barr Moses is a consultant turned CEO & Co-Founder of Monte Carlo, a data reliability company. She started her career as a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford University. Later, she became VP of Customer Operations at customer success company Gainsight, where she built the data and analytics team. She also served in the...
Is search dead? Google vs ChatGPT, from Google Search to enterprise search at Glean, machine learning in search, tech layoffs - Deedy Das - The Data Scientist Show #061 21.02.2023 1:27:06
Deedy Das is a founding engineer at Glean, an enterprise search startup. Previously, he was a Tech Lead at Google Search working on query understanding and the sports product in New York, Tel Aviv, and Bangalore. Before that, he was an engineer at Facebook New York and graduated from Cornell University. Outside of work, Deedy writes on his blog. He published a viral resume template and his work on...
The 100-hour work week of an self-taught machine learning researcher, how he got into Google Brain, why he started Omni - Jeremy Nixon - The Data Scientist Show #060 20.02.2023 1:42:52
Jeremy Nixon is a machine learning researcher, software engineer, and startup founder. Previously he was a software engineer at Google Brain working on deep learning. Now, he is the co-founder and CEO of Omni, building an immersive information retrieval system for you and your team. He studied applied math at Harvard University. Today we’ll talk about how he got into Google brain, his 3-month self...
The power of error analysis, tree models for search relevancy, what ChatGPT means for data scientists - Sergey Feldman - The Data Scientist Show #059 24.01.2023 1:19:43
Sergey Feldman is the head of AI at Alongside, providing mental health support for students. He is also a Lead Applied Research Scientist at Allen Institute for AI, where he built an ML model that improved search relevancy for scientific literature. Sergey has a PhD in Electrical and Electronics Engineering from the University of Washington. Today we’ll talk about machine learning for search, his...
How to build data science muscle memory, DeepChecks -- an open source ML testing suite - Philip Tannor - The Data Scientist Show #058 07.12.2022 1:08:51
Philip Tannor is the Co-Founder and CEO of Deepchecks, a python package to run checks for machine learning models. Previously, he was the head of data science group at the Isreal Defense Force. He has a master's degree from Tel Aviv University in engineering, his thesis was about a new algorithm that combines neural networks with gradient-boosting decision trees. Today we’ll talk about his career...
The Daliana Special: how did I got into data science, 5 things only experienced data scientists know, and why I started "The Data Scientist Show" - Daliana Liu #057 24.11.2022 1:15:20
Who is Daliana? This is a conversation I had in 2021 with Harpreet Sahota. I talked about my unexpected journey to data science all the way back in high school, things I wish I could know earlier about my career, the projects I worked on, what is like to be a quote-and-unquote influencer on Linkedin, and more. If you want more content from me, I write about data science and career nerdy jokes, on...
How he carved his own path at Airbnb, from data engineer to CEO of Mage - Tommy Dang - the data scientist show #056 08.11.2022 1:08:02
Tommy Dang is the Co-founder and CEO of Mage, a data ingestion and transformation pipeline for data engineers ( https://github.com/mage-ai/mage-ai ). Previously, he was working on data engineering and machine learning engineering at Airbnb. He has a bachelor degree of science in UC Berkeley studying economic, history, and sociology. Today we’ll talk about how he learned engineering and machine lea...
How to effectively test and debug machine learning models, from ML engineer@Apple to startup founder - Gabriel Bayomi - the data scientist show #055 24.10.2022 1:24:01
Gabriel Bayomi is the Co-Founder at OpenLayer, a tool that tests & debugs machine learning models. OpenLayer was in the YCombinator’s batch in 2021, building tools for machine learning model testing. Previously he was a machine learning engineer at Apple working on Siri. He has a master degree in computer science from Carnegie Mellon. He is passionate about Natural Language Processing, Machine...
From Amazon research scientist to head of data product at Vestiaire Collective, why data science projects fail, how to be a good communicator - Alisa Kim - the data scientist show #054 19.10.2022 2:12:17
Alisa Kim is the head of data product at Vestiaire Collective. Previously, she was a research scientist at Amazon Web Services. We used to work on the same team in Machine Learning Solutions Lab and Amazon Web Services. We have collaborated on projects before and previously she was a consultant and worked on analytics and investment banking. She has a Ph. D. in Econ AI and she has worked on variou...
The lessons from almost losing a million dollars for his company, how to build good data assets and get buy-in from the leadership - Mark Freeman - the data scientist show#053 15.10.2022 1:32:31
Mark Freeman is a community health advocate turned data scientist His mission is to improve the well-being of people, especially among those marginalized. He is currently a senior data scientist at Humu where he builds data tools that drive behavior change to make work better. He has a master degree from the Stanford School of Medicine in clinical research, experimental design and statistics. He a...
From deep learning architect at AWS to PM in AI product - Abhi Sharma - the data scientist show #052 04.10.2022 1:30:45
Abhi Sharma started his career as a software engineer at Amazon Lab 126, building cloud services for Alexa. Later he transferred to Amazon Web Services as a deep learning architect. We used to work at the same team at machine learning solutions lab in AWS. Currently, he is a product manager, responsible for machine learning products like chatbot at Chime. We talked about how he transitioned his ca...
What data scientists need to know about MLOps principles, from GPA 2.6 to Sr. MLOps Engineer@Intuit - Mikiko Bazeley - the data scientist show051 27.09.2022 2:04:50
Mikiko Bazeley is a senior software engineer working on MLOps at Intuit. Previously, she worked as a growth hacker, data analyst in Finance, then become a data scientist, and later transitioned into machine learning. She has a bachelor degree in econ, biological anthropologie, did data science bootcamp at springboard. She is a tech writer for NVIDIA and she’s working on a course on MLOps. Her goal...
Bayesian thinking in work and life, ad attribution models and A/B testing, machine learning@Foursquare - Max Sklar - the data scientist show050 13.09.2022 1:30:25
Max Sklar is an independent engineer and researcher. Previously, he was an engineering and Innovation Labs Advisor at Foursquare after 7 years at the company as a machine learning engineer. Previously, he has worked on Ad Attribution, recommendation engine, ratings. He is the host of The Local Maximum podcast. Max studied CS from Yale, and holds a Master degree in information systems from New York...
Why he quit a $500k+ machine learning job at Meta (Facebook): a candid review of his experience, mistakes, and ML best practices - Damien Benveniste - the data scientist show049 06.09.2022 2:44:26
Damien Benveniste is a data scientist and software engineer. Previously, he was a machine learning tech leader and mentor. He has worked for almost ten years in different machine learning roles in different industries such as AdTech market research, e-commerce and health care. He has a Ph. D. in physics from Johns Hopkins University and now working towards co-founding own startup in employee engag...
Time series modeling in supply chain, how to master business communication, save the environment with data science - Sunishchal Dev - the data scientist show048 31.08.2022 1:03:09
Sunishchal Dev is a lead data scientist at Booster. He's helping to decarbonize the transportation industry by optimizing last mile delivery of renewable fuels. Previously, he was a management consultant. On the side, he volunteers with Project Drawdown to model the most effective solutions to climate change. He is also a mentor of future data scientist as a springboard by guiding them through rea...
Product data science@Spotity, from management consultant to data scientist, salary negotiation, managing ADHD - Felicia Rutberg - the data scientist show047 18.08.2022 2:12:57
Felicia Rutberg is a product strategy and analytics manager at Snap, previously she was a product data scientist at Spotify. She started her career as a management consultant at Accenture. She studied mathematics and cognitive psychology at the Vanderbilt University. Felicia reached out to me on Linkedin because she wanted to share how she became a data scientist while having ADHD. Today we’ll tal...
Data science interviews trends, from being laid off to landing a data scientist job at Airbnb - Emma Ding - the data scientist show #046 02.08.2022 1:19:35
Emma Ding is a data scientist turned career coach. Previously she was a data scientist and software engineer at airbnb. I first discovered her through a viral Medium blog called “how I got 4 data science offers and doubled my income 2 months after being laid off". Today, her mission is to help data scientists land their dream offers by being strategic and efficient in their interview preparation a...
Using ML to tackle disruptive behaviors in gaming@Activision, data science in the metaverse, cyber security - Carly Taylor - the data scientist show #045 29.07.2022 1:15:41
Carly Taylor is a senior manager at Activision, leading a team of machine learning engineers to tackle disruptive behaviors in the game ‘Call of Duty’. Previously, she has held various roles including machine learning engineer, data scientist, product analyst, Analytical Chemist. She has a master degree in computational chemistry from the university of colorado. She’s passionate about video...
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