The Data Scientist Show

By Daliana LiuBusiness Careers

The Data Scientist Show episodes

May 24, 2022 A/B testing and growth analytics at Airbnb, building data science tools and metrics store with Nick Handel, the data scientist show#037
Nick Handel was a senior data scientist leading the launch of the data side of this Airbnb Trips and later built a team that designed aribnb’s end-to-end machine learning platform, bighead. Currently, he is the cofounder and CEO of Transform, he first centralized 'metrics store' that empowers data analysts to deliver insights. He was recognized as 30 under 30 by Forbes in 2018. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Nick's Linkedin:https://www.linkedin.com/in/nicholashandel/

Highlights:
(00:00) intro and career journey
(00:10:58) common mistakes in A/B testing
(00:25:48) how to do A/B testing deep dives
(00:27:32) surprising A/B testing results
(00:29:18) facts vs opinions
(00:33:55) A/B testing best practices
(00:55:01) how he built a new data schema for Airbnb Trips
(01:00:43) how to collect data when building data science tools
(01:38:53) trend of data science tools
2 hr 11 min
May 17, 2022 Becoming a superforecaster, decision science for better human predictions - Pavel Atanasov-the data scientist show#036
Pavel is a decision scientist and co-founder at Pytho, using decision science to measure and improve human judgment & prediction. He has a phd in psychology and decision science from the University of Pennsylvania, focusing on crowd predictions. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Pavel's twitter: https://twitter.com/PavelDAtanasov
Superforecasting book, based on the Good Judgment Project: https://www.amazon.com/Superforecasting-Science-Prediction-Philip-Tetlock/dp/0804136718
Blogs about forecasting:
Vox's Future Perfect series: https://www.vox.com/future-perfect
Astral Codex Ten: https://astralcodexten.substack.com/

Highlights:
(00:01:10) how he got into decision science
(00:14:38) what makes someone a super forecaster
(00:16:20) three elements of becoming a super forecaster
(00:24:37) how to effectively update our opinions
00:30:05 how he designed experiments to find out what was a better system
(00:48:27) why humans sometimes are better than algorithm
(01:14:50) how to collect data and information better
(01:33:25) why you should quit
(01:42:30) the future of decision science
1 hr 52 min
May 10, 2022 Using AI to detect online abuse, from physics PhD to staff ML engineer@Linkedin, persuasion at work with James Verbus - the data scientist show #035
James Verbus is Staff Machine Learning Engineer at LinkedIn. He has a PhD in Physics from Brown university. He is the tech lead of the Anti-Scraping and Automation AI Team, working on protecting LinkedIn's Members from bots and abusive scripted behavior, pioneering the use of deep learning to detect abusive automated sequences of user activity (blog post). If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu

(00:01:14) from physic to data science
(00:16:37) background of online abuse detection
(00:24:40) Isolation Forest Algorithm
(00:42:59) his day-to-day as a staff ML Engineer
(00:52:57) how to persuade stakeholders
(00:58:17) how to build influence at work
(01:00:22) how he grew to staff engineer
(01:13:48) what he learned from his mentor
1 hr 36 min
May 05, 2022 The golden age of AI and neuroscience, brain computer interface (BCI), from academia to FAANG with Patrick Mineault - The Data Scientist Show #034
Patrick Mineault is a neural data scientist. He has worked at Google and Facebook after he did a postdoc at UCLA. He worked on Brain Computer Interface (BCI) at Facebook Reality Labs, building a BCI that allows you to type with your brain. He tweets about neuro-AI @patrickmineault, and writes a blog (https://xcorr.net) sharing his career journey and learnings along the way. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu

How he got into data science (00:02:41)
His work at Google on A/B testing (00:04:17)
How he joined Facebook Reality Lab(00:23:53)
Projects on neuro-AI and brain computer interface (BCI) (00:27:13)
Skills needed for BCI research (00:34:37)
How AI influence neuroscience (01:34:28)
computer vision VS human vision (01:39:57)
model vs data, nature vs nurture(01:45:32)
2 hr 47 min
April 06, 2022 From biostatistician to the 'artist of data science', how he turned his life around, philosophy - Harpreet Sahota - The Data Scientist Show#033
Harpreet Sahota is a data scientist and ML developer advocate, he is also the host of “artist of the data science” podcast and weekly data science happy hours, he is the principal data science mentor at data science dream job. He is also a philosophy nerd. He had some struggles when he tried to get into data science, and today we’ll talk about his experience as a biostatistician, data scientist, lessons he learned from his journey and from mentoring other people, and how he turned his life around. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Harpreet's Linkedin: https://www.linkedin.com/in/harpreetsahota204/?originalSubdomain=ca
The artist of data science podcast: https://theartistsofdatascience.fireside.fm/
1 hr 26 min
March 31, 2022 How he built the best Covid forecasting model, lessons learned and how to improve model performance with Youyang Gu - The Data Scientist Show#032
Youyang Gu is the creator of http://covid19-projections.com. In 2020, while most Covid prediction model failed, without any experience in medicine he created a forecasting model that outperforms almost all medical experts. Yann LeCun, Facebook's chief AI scientist and professor stated that Gu's model "is the most accurate to predict deaths from COVID-19", surpassing the accuracy of the well-funded Institute for Health Metrics and Evaluation COVID model. It was cited by the Centers for Disease Control (CDC) in its estimates for U.S. recovery.
Currently, he is a member of the Technical Advisory Group at the World Health Organization. Working on laying the groundwork for a comprehensive, global study to document and analyze differences in levels of mortality attributable to COVID-19 between and within countries.
Today we talked about how he built the model, lessons he learned, his advice for data scientists and what his working on today. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Youyang's blog: https://youyanggu.com/
Youyang's Twitter: https://twitter.com/youyanggu
2 hr 4 min
March 24, 2022 Feature engineering, ML models in production, new trend for ML tools, day-to-day of a principal engineer with Willem Pienaar - The Data Scientist Show #031
Willem is the creator of Feast, an open-source feature store (feast.dev), building tools at the intersection of engineering, data, and ML. Currently, he work as a Principal engineer at Tecton, Leading the development of Feast, an open source feature store. Previously, he has worked in South Africa, Thailand, Singapore before he moved to San Francisco in the US. Today we’ll talk about machine learning in production, cool projects he worked, machine learning in startup and how to pick the right data science track for your career. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Willem's Linkedin:https://www.linkedin.com/in/willempienaar/
1 hr 37 min
March 20, 2022 Machine learning in healthcare, how to scale ML solutions, from ML researcher to product leader at Microsoft with Muazma Zahid - The Data Scientist Show #030
Muazma Zahid is a leader in data and AI, speaker and researcher in Biomedical Engineering with several international publications and awards. We talked about machine learning in healthcare, how to scale data science solutions, her journey from a ML researcher to data engineer to engineering manager to a product leader.
She joined Microsoft in 2018 as a data engineer, later became a senior manager in software engineering, and now she is a principal product manager. She won the mentor of the year award in 2020 by Women Tech Network. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Muazma's Linkedin: https://www.linkedin.com/in/muazmazahid/

1 hr 41 min
March 11, 2022 Hands-on time series analysis, open source projects, R packages, MLOps common mistakes with Rami Krispin - The Data Scientist Show #029
Rami leads the data science and engineering team at Apple Finance Decision Support. He uses advanced statistical and machine learning models to help leadership make better decisions. He is also an open-source contributor and the author of Hands-On Time Series Analysis with R and several R packages for time series analysis and machine learning applications. He has a master degree in applied econometrics. We talked about time series, open source, MLOps and his career journey. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Rami's Linkedin: https://www.linkedin.com/in/rami-krispin/
Rami's Github: https://github.com/RamiKrispin
Rami's Twitter: https://twitter.com/Rami_Krispin
Rami's Blog: https://ramikrispin.github.io/
1 hr 32 min
March 03, 2022 Becoming a deep learning researcher without a PhD, graph neural network(GNN), time series, recommender system with Kyle Kranen - The Data Scientist Show#028
Kyle Kranen is a Deep Learning Software Engineer at Nvidia. Researching, implementing, and optimizing state of the art distributed deep learning models, using mainly Pytorch and Tensorflow. He has a unique combination of skillset of both hardware and software engineering. We talked about Graph Neural Network (GNN), Temporal Fusion Transformer (TFT), time series, and other deep learning research topics and his career journey. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Kyle's Linkedin: https://www.linkedin.com/in/kyle-kranen/
1 hr 58 min

About The Data Scientist Show

From the publisher's feed

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.