The Data Scientist Show

A seasoned open-source developer of 25+ years, Greg Osuri is the CEO and co-Founder of Akash Network, an open-source decentralized cloud that provides a fast, efficient, and low-cost application deployment.   

Prior to Akash Network, Greg founded AngelHack, the world’s largest hackathon organization with over 200,000 developers across 164 cities across the globe. At AngelHack, he helped launch several developer companies including Firebase, which was acquired by Google in 2014.   Greg launched his career at IBM and later designed Kaiser Permanente’s first cloud architecture. As an expert in open-source, distributed systems, and blockchain development, and an applied economist, Greg is a featured international speaker and has spoken recently at events including Kong Summit, Block-Con, and Block to the Future.   His work has been featured in top-tier publications including BeInCrypto, CoinDesk, Cointelegraph, Forbes, TechCrunch, and Yahoo! Finance. Greg was instrumental in the passing of California’s first Blockchain law, providing the first expert-witness testimony at the Senate.  

About Akash Network: Akash Network, the world's first decentralized and open-source cloud, accelerates deployment, scale, efficiency and price performance for high-growth industries like blockchain and machine learning/AI.  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

Greg's Twitter: https://twitter.com/gregosuri 

Andrew Kondrich is a machine learning engineer at Scale. We talked about his career journey, human first design for AI, how to get into machine learning, and what kind of candidates companies are looking for. 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

Bryan is a data science manager, previously he worked at Facebook and Indeed as senior data scientist. Bryan specialize in ad system design, ad ranking, and A/B testing platforms. 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

We talked about: 

- how he got into data science as a history major 

- when not to use data science to make decisions 

- how data scientists should influence the company's culture 

- how data scientists can have a competitive edge in the future 

- what is the ad ranking problem 

- data science books for game theories 

- how to use game theories in real life  

Jerry is the COO/Founder of Wonsulting and an ex-Senior Strategy & Operations Manager at Google & used to lead Product Strategy at Lucid. After graduating from Babson College, Jerry was hired as the youngest analyst in his organization by being promoted multiple times in 2 years to his current position in Google. With Wonsulting, Jerry partners with universities & organizations (220+ to date) to help others land into their dream careers. He's amassed 250,000+ followers across LinkedIn, TikTok & Instagram and has reached 40M+ professionals. In addition, his work has been featured on Forbes, Newsweek, Business Insider, Yahoo! News, LinkedIn & elected as the 2020 LinkedIn Top Voice for Tech.

Jerry shared his expert advice on how to network effectively, how to send messages to recruiters, and how he used data analytics to solve million dollar business problems. 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

Alexey Grigorev is a principal data scientist at OLX Group, He is also the founder of Data Talks Club with 4,100 members. He wrote a book called "Machine Learning Bookcamp" to help people learn machine learning by doing projects. 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

We talked about: how Alexey transitioned into machine learning

- What kind of project helped him get his job

- 2 mistakes new data scientists often make

- Why do you need to know the baseline 

- What makes you stand out as a candidate 

- His free machine learning course     

#datascience #machinelearning #ai #ml #career

Jim Zheng is an engineering manager at Flexport, building the data platform; he was a data scientist at Salesforce, worked at Yahoo as a UX designer, and was a researcher in computer science at Stanford. He is also the cofounder of Senpai, an audio platform for experts to share domain knowledge.  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

Ask Jim a question on Senpai: https://beta.senpai.so/ataki12

Jim's article on how to send cold emails: https://www.linkedin.com/pulse/hiring... 

We talked about:

- Jim's career path in engineering and data science

- What makes a great data scientist 

- What's the future of data scientists 

- What's a 'human cloud' 

- How to network like a champion 

- Best way to work with mentors 

- Career advice to his younger self  

- Life lessons he learned from playing chess  

Gerald Friedland is the CTO of an AI company (Brainome) and a professor at UC Berkeley. Listen to his advice on how to build more resilient machine learning models and get inspired by 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 and career.

Gerald’s LinkedIn: https://www.linkedin.com/in/geraldfriedland/

Gerald’s Class: https://www2.eecs.berkeley.edu/Courses/CS294_3438/

Gerald’s Youtube Lectures: https://www.youtube.com/playlist?list=PL17CtGMLr0XzOsLydB0jik4UpEyoW5SOx

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

Daliana's Twitter: https://twitter.com/DalianaLiu

(00:00:00) Introduction

(00:01:06) How did he get into machine learning

(00:12:13) How to Reduce Overfitting

(00:22:15) Technology in Brainome

(00:24:13) Brainome vs auto ML

(00:27:08) Measurement of a data-centric approach

(00:27:32) Data Drift

(00:32:28) Courses to take

(00:34:33) Information theory

(00:38:06) Advice for students in grad school

(00:42:43) Dealing with failure and stress

(00:44:05) The underdog story

(00:49:12) Who is Gerald Friedland

(00:50:00) Inspiration of Gerald

(00:51:08) Future of machine learning

(00:52:36) Tips for asking the right questions

(00:53:40) Question your assumptions

(00:54:10) Favorite books and courses

(00:56:34) Advice on machine learning

(00:57:52) Ideal qualities of an ML engineer