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Vin Vashishta's Unique Data Science Journey (Part 2)
Manage episode 317673498 series 3304584
Content provided by Abraham Cherian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Abraham Cherian or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this DataDive podcast episode, Abraham interviews Vin Vashishta, the founder and chief data scientist at V-Squared. Vin is one of the most influential voices in data science, ranking in the top 10 of Linkedin's Top Voices for Data Science and Analytics. Vin builds and delivers projects to market with ARR in the hundreds of millions. Vin and Abraham have a wide-ranging conversation about addressing issues associated with certain applications of data science, the most valuable technical and non-technical skills that data scientists should develop, and how the data science and machine learning fields will evolve in the future.
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Manage episode 317673498 series 3304584
Content provided by Abraham Cherian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Abraham Cherian or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this DataDive podcast episode, Abraham interviews Vin Vashishta, the founder and chief data scientist at V-Squared. Vin is one of the most influential voices in data science, ranking in the top 10 of Linkedin's Top Voices for Data Science and Analytics. Vin builds and delivers projects to market with ARR in the hundreds of millions. Vin and Abraham have a wide-ranging conversation about addressing issues associated with certain applications of data science, the most valuable technical and non-technical skills that data scientists should develop, and how the data science and machine learning fields will evolve in the future.
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