Carpe Datum

By: Audrey x Women in STEM
  • Summary

  • Welcome to 'Carpe Datum,' the podcast where we dive into the fascinating world of data science. Join us bi-monthly on Monday 5:00 AM PST as we explore the diverse experiences, insights, and journeys within the field. Whether you're a seasoned professional or just starting your journey, tune in to hear firsthand accounts and valuable lessons from individuals shaping the future of data science.
    Audrey x Women in STEM
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Episodes
  • S3E4 Kelly Princess: STEM Podcasting
    Feb 17 2025
    • Diverse Background and Leadership: Impact of university roles and extracurricular activities on managing technical projects.

    • Engaging Different Age Groups: Tailoring complex STEM ideas for various audiences, combining experiences as a team manager and council member.

    • Women in STEM Podcast: Inspiration behind the podcast, evolution of the vision, and surprising insights from high-profile interviews.

    • Challenges in Digital Solutions: Experiences optimizing Tanzu Kubernetes solutions for scalability and reliability at VMware.

    Women in STEM podcast: https://open.spotify.com/show/4pJNT1DLx3EddXfnVuisEj?si=202c8362400a4aee

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    16 mins
  • S3E3 Hana Gabrielle: Stories in Gaming, Mental Health, and Accessibility
    Feb 3 2025

    Transition from Corporate to Academic Setting: Navigating the shift from Wells Fargo to Cornell and the transferable skills.

    Diverse Data Projects: Insights from analyzing data in mental health, gaming, and accessibility, and lessons learned.

    Writing for Reinvented Magazine: Trending tech topics and their influence on marketing data analysis at Cornell.

    Handling Unemployment: Staying motivated during unemployment through blogging, coding, and certifications, with advice for others.
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    24 mins
  • S3E2 Lydia Yu: Data-Driven Success
    Jan 20 2025

    STEM Education Impact: Lydia's experience as an MIT instructor in Barcelona. The transformative power of STEM education in communities. Advice for young women exploring tech and data science.

    Interdisciplinary Research: Lydia’s research on the connection between music, animals, and human well-being. Encouragement for high school students to explore interdisciplinary research.

    ML Summer Analyst Success: Lydia’s approach to saving 1,000 hours and increasing bids by $100 million. Key skills and mindset for making a significant impact.

    Data Science in Industry: Transition from IBM to Visa and how previous projects in automotive and supply chain influence her work in fraud detection at Visa.

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    22 mins

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