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Dinesh Shenoy – Data Scientist & Former Lawyer With Astro-Physics PhD #98

Develomentor

English - October 08, 2020 12:00 - 49 minutes - 34.3 MB - ★★★★★ - 30 ratings
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Welcome to another episode of Develomentor. Today's guest is Dinesh Shenoy!

From graduating college with a double major in history and physics to changing oil at Jiffy Lube while he figured out what’s next to 7 years as an attorney for Aronson and Associates, Dinesh Shenoy has taken, in his own words “an unusual career path” to becoming a data scientist in 2016. 

Along that path, in addition to that double major in undergrad, Dinesh picked up a law degree from the University of North Carolina Chapel Hill and a PhD in Astrophysics from the University of Minnesota before deciding to see what data science is all about.  As a data scientist, he’s held down roles for Veritas and now CH Robinson. 

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Quotes

“By the time I finished my education I had my feet in both camps. I thoroughly enjoyed my physics education, I liked the value of it. But history opened up my mind to a broader perspective rather than thinking of just some technical path in life.”

“Outside of the team, people don’t need to see the math they want you to boil it down for them and help them make a solid business decision one way or another. And boil it down in a quick way.”

“I first started hearing the term ‘data scientist’ when I started thinking about ‘ if I’m not seeking an academic career path, what is there for someone like me in the job market?’”

—Dinesh Shenoy

Key Milestones

Dinesh took a year off after graduating from college, worked at Jiffy Lube and then decided to go to law school because it was “respectable”. What was going through his mind at that time?Dinesh spent 7 years as an immigration attorney. What inspired that area of law?After leaving law, Dinesh went back to school to become an astro-physicist. Why choose something so difficult?Dinesh find himself in tech after studying to become an astro-physicist?Dinesh’s experience as a lawyer and a physics PhD are definitely unique. How have they played into building a successful data science career?Tech fuels Dinesh’s intellectual curiosity. How does the ever changing field 

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