Uploaded July 2022 | Updated September 2026, 1 week ago
Highlights below) Vin Vashishta is a chief data officer and AI strategist at V Squared, a company he founded in 2012 that provides AI strategy, transformation, and data organizational build-out services. He teaches data professionals about strategy, communications, business acumen, and applied machine learning research methods. Vin has 130k+ followers on Linkedin talking about AI, analytics, and strategy. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.
Daliana's LinkedIn: linkedin.com/in/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu
Vin's website: https://www.datascience.vin/
Vin's Linkedin: linkedin.com/in/vineetvashishta
Highlights:
0:00 Intro
00:03:37 "ML strategy" with 'pricing' as an example
00:09:45 what makes a good metric for ML
00:13:16 how to translate a business problem into a data problem
00:23:42 how to leverage users in the Human Machine Teaming
00:30:21 how to find multiple paths to success
00:48:22 how he earned the trust
01:02:06 data science career path
01:17:31 data science evolution from 2012 to 2022
01:31:06 how he gets inspiration from biology and physics
01:36:25 the mistakes he made
01:42:15 what he learnt from his mentor
Highlights below) Vin Vashishta is a chief data officer and AI strategist at V Squared, a company he founded in 2012 that provides AI strategy, transformation, and data organizational build-out services. He teaches data professionals about strategy, communications, business acumen, and applied machine learning research methods. Vin has 130k+ followers on Linkedin talking about AI, analytics, and strategy. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.
Daliana's LinkedIn: linkedin.com/in/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu
Vin's website: https://www.datascience.vin/
Vin's Linkedin: linkedin.com/in/vineetvashishta
Highlights:
0:00 Intro
00:03:37 "ML strategy" with 'pricing' as an example
00:09:45 what makes a good metric for ML
00:13:16 how to translate a business problem into a data problem
00:23:42 how to leverage users in the Human Machine Teaming
00:30:21 how to find multiple paths to success
00:48:22 how he earned the trust
01:02:06 data science career path
01:17:31 data science evolution from 2012 to 2022
01:31:06 how he gets inspiration from biology and physics
01:36:25 the mistakes he made
01:42:15 what he learnt from his mentor










