cindytonkin's podcast
Dean Marchiori is my guest this week. If you're after something to do while you're self-isolating, working from home or panicking about your supplies of printer toner, have a listen.
info_outline 31: Moha Ganji: planning, mentors, reflectioncindytonkin's podcast
Moha Ganji and I had a lovely time talking about being one of the IAPA Top 25 leaders, the importance of planning and reflection time, where she finds mentors, and more.
info_outline 30: Lori Silverman: not just decisions: Actions!cindytonkin's podcast
My guest today is Lori Silverman. Lori is not a data person as such: she specialises in getting organisations to shift. And she has some fascinating things to say around how data stories are told.
info_outline 29: Chris Crook: Targeted curiositycindytonkin's podcast
Chris Crook from Nature Research is my guest today. Nature Research just won a B&T, and the award itself looks quite beautiful, quite casually hanging out with the mags in their foyer.
info_outline 28: Gabe Mach: Nothing you can't fix with numberscindytonkin's podcast
Gabe Mach is my guest on this podcast. Gabe is one of IAPA's top 25 leaders in 2019. He's entertaining, interesting and thought-provoking.
info_outline 27: Nate Watson: Math is the cultural equalizercindytonkin's podcast
Nate Watson talks about how urgent it is for organisations to start using their data for decisions.
info_outline 26: Tony Savides: the Magnificent So Whatcindytonkin's podcast
Tony Savides was recently honoured as one of the top 25 Leaders in Analytics by the Institute of Analytics Professionals
info_outline 25: Satya Upadhyaya: Marketing Technologistcindytonkin's podcast
Satya Upadhyaya is a Marketing Technologist.
info_outline 24: Maura Church: Life work harmonycindytonkin's podcast
Maura Church makes data into insights at Patreon.
info_outline 22: Vin Vashishta - interesting and usefulcindytonkin's podcast
Vin Vashishta is a big name in data science.
info_outlineSachin Kumar’s most important value is problem-solving. He wants the work he does to add value to the business.
Here’s his linked in profile. It was a great pleasure to have him on the podcast today.
Some of the key ideas he discusses:
- how smart is the new sexy
- why business acumen matters in a data analyst / decision scientist
- Einstein’s idea: if I have an hour to solve a problem, I’d spend 55 minutes understanding the question
- the importance of mirroring the client’s language back to them when explaining a solution (this is a fundamental of rapport: see here)
- what makes a data scientist succeed or fail
- why being smarter isn’t always better
- who owns data science – is it IT, Business, Consulting?
- the gap between the business and data science and what needs to happen with it
- how values power his day and help him manage time
- why we should be solving the problems which are a priority for the business
- why he’s given up reading books
- his dream to be a travelling problem-solver
- his advice to prospective data scientists (don’t fall in love with super-hero tech!)
- why you should ask all 20 questions next time you play that game
You'll find more links and videos and show notes https://consultantsconsultant.com.au/podcast/11-sachin-kumar/