32: Dean Marchiori: Going full circle
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.
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31: Moha Ganji: planning, mentors, reflection
cindytonkin'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.
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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.
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29: Chris Crook: Targeted curiosity
cindytonkin'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.
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28: Gabe Mach: Nothing you can't fix with numbers
cindytonkin'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.
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27: Nate Watson: Math is the cultural equalizer
cindytonkin's podcast
Nate Watson talks about how urgent it is for organisations to start using their data for decisions.
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26: Tony Savides: the Magnificent So What
cindytonkin's podcast
Tony Savides was recently honoured as one of the top 25 Leaders in Analytics by the Institute of Analytics Professionals
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25: Satya Upadhyaya: Marketing Technologist
cindytonkin's podcast
Satya Upadhyaya is a Marketing Technologist.
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24: Maura Church: Life work harmony
cindytonkin's podcast
Maura Church makes data into insights at Patreon.
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22: Vin Vashishta - interesting and useful
cindytonkin's podcast
Vin Vashishta is a big name in data science.
info_outlineMohammad Elteibi leads a small team who are playing with some lovely data.
He talks about how much he likes to learn to do something that he hasn't done before
- working with teams - need to have an outcome focus
- analytics for the sake of analytics - there's no point
- building on top of other people's work, not starting from scratch
- creating psychological safety (see my blog posts here)
- the power of food to build team
- working in a multi-cultural team
- analytics can be isolating: it's not always a collaborative thing
- having KPIs that include having new ideas
- his path from food technologist to data analyst team leader
- why the worst data scientists are the ones who think they know everything: the best ones challenge themselves to do better, know context and to work with stakeholders
- his own learning projects, including building his own computer and media server
- why he prefers online conferences
- the importance of understanding a team's frustrations
For more information and the links to his recommendations and ideas, https://consultantsconsultant.com.au/podcast/10-mohammad/