#DataFemme
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#DataFemme episodes

  • A Stamp On Approval

    Tired of crumpled overtime worksheets and awkward requests for time off? Join DiKayo Data and two amazing panelists from Verint as they how discuss the streamlining of data processes is improving modern companies’ workflows.

    This episode of #DataFemme is generously sponsored by Verint, The Customer Engagement Company.

    46 min
  • The High-Lows of Silos

    Join DiKayo Data and three amazing panelists from Scuba Analytics to discuss how the deconstructing of silos can inspire innovation as a team.

    Scuba Analytics is Hiring…

    A FRONT-END ENGINEER who is strong in React and technologies that underpin the Web:

    https://boards.greenhouse.io/scuba/jobs/5104867002

    An BACK-END ENGINEER who brings considerable depth in Python with distributed systems at the enterprise level:

    https://boards.greenhouse.io/scuba/jobs/4030947002

    A PRODUCT MANAGER who would have a lot of influence in driving the effort to shape Scuba's integration capabilities:

    https://boards.greenhouse.io/scuba/jobs/6361952002

    A full list of Scuba’s open positions:
    https://www.comparably.com/companies/scuba-analytics/jobs

    1 hr 6 min
  • Career Has More Intention

    Join Daria Malone, Meg Pirrung and myself on the #DataFemme platform for a riveting discussion on mental health, tech careers and the job hunt, specifically for Black and Brown Women.

    This episode is sponsored by The City of New Orleans. They are hiring for several data-related roles that are sure to interest a lot of you:

    Data Visualization Developer - https://www.governmentjobs.com/careers/neworleans/jobs/3198415/information-technology-specialist-iii-data-visualization-analyst-class-code-01?keywords=information&page=2&pagetype=jobOpportunitiesJobs

     Project Manager – Disaster Resilience and Operations - https://www.governmentjobs.com/careers/neworleans/jobs/1936752/information-technology-specialist-iii-project-management-class-code-0177?keywords=information&pagetype=jobOpportunitiesJobs

    INFORMATION TECHNOLOGY SPECIALIST I (HELP DESK) - https://www.governmentjobs.com/careers/neworleans/jobs/1675894/information-technology-specialist-i-help-desk-class-code-0165?keywords=information&pagetype=jobOpportunitiesJobs

     If any of these, and/or the descriptions in the podcast episode speak out to you, reach out to me at [email protected] and I will connect you directly to the powers that be!

    40 min
  • A Cloud Grows in Brooklyn

    Leigha Jarett, Product Manager @ Google, appears on #DataFemme to talk about career paths, cloud migration and learning new skills both hard and soft.

    This episode of #DataFemme is sponsored by The Bloor Group.

    Are you a voice of authority in the information economy? Apply to be a guest on DM Radio with Eric Kavanagh here.

    Thoughts on this episode?

    Reach out to Leigha and/or me on Twitter!

    25 min
  • NEW SHOW: Rooted in Math

    Join me on an investigation down the metaphysical rabbit hole to discover how the energy behind the numbers and letters we use without a second thought could truly inform our lives.

    2 min
  • The Science of Changing Your Mind

    #DataFemme Season 3 kicks off with an episode featuring Adam Wilson, CEO of Trifacta. Join us in our discussion of the sensitivity of health care data, where Trifacta falls in a data company's pipeline and so much more in!

    Thank you to Trifacta for sponsoring this episode. Learn more about Trifacta and explore their free trial at trifacta.com.

    Support this brand new season of #DataFemme by becoming a patron on Patreon at www.patreon.com/datafemme.

    Music mixed from Innocence by "Nero"

    35 min
  • Trust in the Machine

    Join Danielle Oberdier, Founder of Dikayo Data and Sepi Seifzadeh, Program Director of Open Source - Data & AI Technologies at IBM for a riveting discussion on Ethical AI, blogging about data science projects and much more.

    This episode was kindly sponsored by IBM.

    Sepi mentions a lot of valuable resources throughout this episode. Click HERE to access a comprehensive list of all resources.

    Support #DataFemme’s future content by subscribing at www.patreon.com/datafemme.

    41 min
  • Open Source, Open Teams and the Push for Representation

    This #DataFemme episode features Open Teams' Dhavide Aruliah and Fatma Tarlaci as they work to restructure diversity, equity and inclusion efforts in the data science industry and open source community. What have we learned in the past year?

    This episode is generously sponsored by Open Teams. Visit openteams.com to find out more!

    Music: Dreams by Tobu

    Support the creation of more #DataFemme content at www.patreon.com/datafemme.

    58 min
  • A Data Lover's Domain

    As live conferences begin to resume, I paired up with my favorite data conference host Lander Analytics to bring you this panel of unique data wizzes, all of whom have found their own niches within the industry.

    Panel Guests:

    Ijeamaka Anyene | Kaiser Division of Research

    Malorie Hughes | Amazon

    Asmae Toumi | Pursue Care

    This episode was sponsored by Lander Analytics. Receive 20% off tickets for the 2021 New York R Conference with the promo code DATAFEMME20 at rstats.ai!

    This episode was abridged for optimal listening. If you’d like to hear the complete interview, visit dikayodata.com

    53 min
  • Data Across The Board

    This week's episode of #DataFemme is a riveting discussion on the synergies between chess and data science. How does skill at one inform the other?

    Tableau Zen Master and chess aficionado Neil Richards is our wonderful guest this week and this episode is sponsored by my friends at Cockroach DB.

    Get a free t-shirt from Cockroach DB when you sign up for a forever free database account at cockroachlabs.com/datafemme!

    Anyone who wants to play me in chess on chess.com can search my username, @nelpire, and add me.

    37 min

About #DataFemme

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Join Dikayo Data and the brightest voices in data science for a weekly riveting discussion about the future of the data science industry, with a bent on diversity.