#49 - From Finance to Data, LinkedIn Instructor, DevRel and Community with Megan Lieu

#49 - From Finance to Data, LinkedIn Instructor, DevRel and Community with Megan Lieu

This week: Amazing learnings from Megan Lieu !

If you're interested in Data Science and changing fields (from finance, to data analyst to data scientist to DevRel), then this episode is for you. Megan have built an impressive community while sharing professional journey and shares some insights with us.

??? Who is Megan Lieu?

Megan Lieu has been growing in multiple roles in the data field while sharing her journey on linkedIn and actually works as a DevRel at Deepnote . She is a linkedin instructor, author of multiple successful courses and have built a community over 80k+ people on linkedIn.

?? In this episode...

... we discuss about Megan's journey and growth in the data field. She discusses her passion for data, building successful courses, finance, her multiple data roles, career tips and much more!

Our conversation include the following topics:

1. Data science has unique nuances and should be explored as a possible career path for ANYONE

2. Being a data analyst, scientist, or advocate requires specific technical and communication skills like SQL, spreadsheet analysis, visualization tools, and the ability to share insights through writing.

3. Personal branding through consistent writing on platforms like LinkedIn can help individuals grow within their industry and connect with like-minded professionals.

4. Management or leadership roles require excellent communication skills, the ability to teach, and the desire to empower others to achieve their goals.

5. Building a network, especially in the data field, is powerful for personal and professional growth.

6. Democratizing data insights and collaborating with other departments is essential to ensure that the entire organization is on the same page and understands the insights coming from the data organization.

7. Deep Note is a cloud-based collaborative notebook designed to make it easy for data scientists and non-data folks to communicate and work together.

8. The judgment between technical and business people is a recurrent and problematic issue that needs to be addressed.

9. The DevRel role is very new and the job can vary a lot from professionals.

?? Listen to this episode now!

??? Podcast ???https://smartlink.ausha.co/let-s-talk-ai/

?? Youtube ???https://www.youtube.com/@lets-talk-ai

Keep learning, keep creating, keep building, and let's have a positive impact!

Warm regards,

Thomas


Megan Lieu

Developer Advocate @ ML Data | Data Science Product @ JetBrains Datalore | Instructor @ LinkedIn Learning

1 年

The cartoon of me though!! ?? Really enjoyed this conversation, thanks for having me Thomas Bustos (:

Thomas Bustos

AI Engineer | Data&AI Consultant at EY | "Let's Talk AI" Podcast Host

1 年

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