Daliana's Game

Daliana Liu
  • 4.7 (75)
  • PROFESIONES
  • CADA SEMANA
Daliana's Game

I'm Daliana Liu, an ex-Amazon data scientist turned career coach and content creator. I left my tech job to do this "career" thing on my own terms. This is Daliana’s Game — a podcast for tech professionals ready to carve out their own path, and create a career that aligns with their lifestyles. Ever felt you want more fulfillment and freedom beyond the 9-to-5? You’re in the right place. I share more about my career adventure and the lessons I learned with 20k subscribers, join here: https://dalianaliu.kit.com/e0dcfc214b Linkedin with 300k followers: https://www.linkedin.com/in/dalianaliu

  1. HACE 3 DÍAS

    Why she quit Amazon to become a Vlogger, Creator Economy, Evelyn - Daliana’s Game - 01

    Daliana’s newsletter on how to navigate your career in the AI age: https://dalianaliu.kit.com/e0dcfc214b Evelyn was an analytics manager at Amazon and now full time vlogger. We talked about how she became a vlogger, how she navigated her career after leaving Amazon, and what she learned about the creator economy. Evelyn’s YouTube: https://www.youtube.com/@tapiocapress Daliana's Linkedin: https://www.linkedin.com/in/dalianaliu/

    52 min

  2. 9 JUL

    Daliana is back -- with something new

    I'm starting a new podcast. Learn more.

    1 min
  3. Why I’m ending this show. Death, afterlife, Chinese philosophy, and what’s next? Daliana Liu ft. Tina Huang #92

    21 ABR

    Why I’m ending this show. Death, afterlife, Chinese philosophy, and what’s next? Daliana Liu ft. Tina Huang #92

    I had a fun “funeral” of this show with Tina Huang, we talked about death, afterlife, and the various transitions as content creators. Get coached by Daliana:• DS/ML Career Accelerator • Personal Branding Accelerator • Join the newsletter with 20k readers to read my career stories ⁠here⁠.

    44 min
  4. Unfiltered advice - How to advance your career in data science & ML - The Data Scientist Show with Daliana Liu and Jon Krohn #091

    1 ABR

    Unfiltered advice - How to advance your career in data science & ML - The Data Scientist Show with Daliana Liu and Jon Krohn #091

    ➡️ Learn more about the DS Career Coaching Course. I went on Super Data Science with Jon Krohn to discuss how to accelerate your career in data science, why I paused the podcast, and how to navigate the industry's change. Join 20k subscribers to read more about career influence and personal branding. Subscribe here.

    1 h y 34 min
  5. From Meta to independent data consultant, Seattle Data Guy moved to Denver, Ben Rogojan, the data scientist show #090

    17 FEB

    From Meta to independent data consultant, Seattle Data Guy moved to Denver, Ben Rogojan, the data scientist show #090

    Ben Rogojan, aka, Seattle data guy is an ex-Meta data engineer turned data engineering consultant and YouTuber. He has 100k followers each on YouTube and LinkedIn. We talked about how he become an independent consultant and the current state of data engineering. - Ben’s LinkedIn: ⁠https://www.linkedin.com/in/benjaminrogojan/⁠ - Daliana’s newsletter on career growth and personal branding: ⁠https://dalianaliu.kit.com/profile⁠ ⁠Hi! I'm Daliana Liu⁠ Join 20,000+ subscribers to read the career lessons from my 7-year experience at Amazon and my solo-founder journey.

    1 h y 2 min
  6. Why data scientists are tired, six real data scientists' frustrations - The Data Scientist Show #089

    17/04/2024

    Why data scientists are tired, six real data scientists' frustrations - The Data Scientist Show #089

    Daliana interviewed 6 data scientists from her meetup in New York City. It's a unique episode where you get to hear the real frustrations of data scientists. We talked about struggles working in healthcare, finance, data quality and AI, how to advocate for yourself, and align with your managers. Subscribe to Daliana's newsletter on ⁠www.dalianaliu.com⁠ for more on data science and career. Daliana's Twitter: ⁠https://twitter.com/DalianaLiu⁠ Daliana’s LinkedIn: ⁠https://www.linkedin.com/in/dalianaliu/

    42 min
  7. Why 80% of A/B tests fail, how to 10X your experimentation velocity - Kristi Angel - The Data Scientist Show #088

    08/04/2024

    Why 80% of A/B tests fail, how to 10X your experimentation velocity - Kristi Angel - The Data Scientist Show #088

    Most experimentations fail, Kristi Angel shares her expertise on scaling experimentation and avoiding common A/B testing pitfalls. Learn five things that can help boost test velocity, designing impactful experiments, and leveraging knowledge repos. (Chapters below) Kristi Angel’s LinkedIn: ⁠https://www.linkedin.com/in/kristiangel/ Subscribe to Daliana's newsletter on ⁠www.dalianaliu.com⁠ for more on data science and career. Daliana's Twitter: ⁠https://twitter.com/DalianaLiu⁠ Daliana’s LinkedIn: ⁠https://www.linkedin.com/in/dalianaliu/⁠ (00:00:00) Intro (00:01:26) Why do most experimentations fail? (00:07:05) Mistakes in choosing metrics (00:10:05) Is revenue a good metric? (00:13:18) Split metrics in three ways (00:15:10) Daliana's story with too many category breakdowns (00:16:59) What makes the best data science team? (00:19:24) Data scientist work in silo vs in a data science team (00:21:15) Building a knowledge center (00:23:40) Example of knowledge center; nuance of experimentations (00:26:09) How many metrics and variants? (00:30:56) How to reduce noise - CUPED (00:33:01) Future of A/B testing (00:38:33) Q&A: Low statistical power

    44 min
  8. From physics PhD to data science leader, unexpected challenges in survey data, Python vs R, EDA best practices, building MLOps toolkit - Julia Silge - The Data Scientist Show #087

    30/03/2024

    From physics PhD to data science leader, unexpected challenges in survey data, Python vs R, EDA best practices, building MLOps toolkit - Julia Silge - The Data Scientist Show #087

    Julia Silge is an engineering manager at Posit PBC, formerly know as R-studio, where she leads a team of developers building open source software MLOps. Before Posit, she finished a PhD in astrophysics, worked for several years in the nonprofit space, and was a data scientist at Stack Overflow where some of her most public work involved the annual developer survey. We talked about MLOps tools, challenges in survey data, text analysis, and balancing her interests in data science and engineering. Subscribe to Daliana's newsletter on ⁠www.dalianaliu.com⁠ for more on data science and career. Daliana's Twitter: ⁠https://twitter.com/DalianaLiu⁠ Daliana’s LinkedIn: ⁠https://www.linkedin.com/in/dalianaliu/⁠ (00:00:00) Introduction (00:00:56) Getting into data science (00:04:50) Transition from data centers to engineering manager (00:14:04) Common challenges in tool development (00:17:38) Challenges with survey data (00:26:47) Engineering skills for data scientists (00:28:59) Balancing roles (00:34:49) Developing skills in Exploratory Data Analysis (EDA) (00:39:19) Python vs. R for data analysis (00:44:40) Exciting aspects in career and personal life

    46 min
Ver todo (94)

Tráiler

4.7
de 5
75 calificaciones

Acerca de

I'm Daliana Liu, an ex-Amazon data scientist turned career coach and content creator. I left my tech job to do this "career" thing on my own terms. This is Daliana’s Game — a podcast for tech professionals ready to carve out their own path, and create a career that aligns with their lifestyles. Ever felt you want more fulfillment and freedom beyond the 9-to-5? You’re in the right place. I share more about my career adventure and the lessons I learned with 20k subscribers, join here: https://dalianaliu.kit.com/e0dcfc214b Linkedin with 300k followers: https://www.linkedin.com/in/dalianaliu

Información

  • Creador
    Daliana Liu
  • Años de actividad
    2021 - 2025
  • Episodios
    94
  • Clasificación
    Apto
  • Copyright
    © Daliana Liu
  • Mostrar sitio web
    Daliana's Game

También te podría interesar

Para escuchar episodios explícitos, inicia sesión.

Mantente al día con este programa

Inicia sesión o regístrate para seguir programas, guardar episodios y enterarte de las últimas novedades.
Elige un país o región

Africa, Oriente Medio e India

Asia-Pacífico

Europa

Latinoamérica y el Caribe

Estados Unidos y Canadá