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 diver...
In celebration of International Women's Day, this special episode brings together influential women leading the charge in Data Science and AI. Hosted by WiDS TT and WiDS San Jose Youth, join us for a compelling fireside chat featuring women trailblazers sharing their insights on navigating and excelling in these dynamic fields.Tune in as our guests discuss:- actionable strategies for breaking into Data Science and AI- explore valuable resources like mentorship programs- online courses and communities- reflect on the personal pillars of resilience, adaptability, and continuous learning that have shaped their journeys.This episode is designed to inspire and empower aspiring data professionals, offering them the tools and confidence needed to thrive in these transformative industries.
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S3E5 Malvika Singh: ChatGPT in Action
Inclusion Impact: A story of how Malvika’s efforts in promoting inclusion made a difference, and trends or innovations in urban data systems likely to impact city planning and development.ChatGPT in Data Analysis: Techniques for using ChatGPT to summarize large datasets or lengthy text, common pitfalls, and the limitations of LLMs in transforming data formats.Leadership Development: Influence of past leadership roles (football captain, event coordinator) on Malvika’s approach to leading projects at Carnegie Mellon and in her current role.Staying Updated in AI: How Malvika keeps up with AI developments, incorporates insights into podcast discussions, and future AI topics of interest, particularly in areas intersecting with human experiences like dating.AI is Not Taking Your Job podcast: https://open.spotify.com/show/1qUPErphWKUg16rsVko9PP?si=ba768ac0248f4eed
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S3E4 Kelly Princess: STEM Podcasting
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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S3E3 Hana Gabrielle: Stories in Gaming, Mental Health, and Accessibility
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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S3E2 Lydia Yu: Data-Driven Success
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.
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.
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