Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

47 How She Tripled Her Income in 18 Months w/ Data Analytics, Data Science, & Data Engineering w/ Kedeisha Bryan

47 How She Tripled Her Income in 18 Months w/ Data Analytics, Data Science, & Data Engineering w/ Kedeisha Bryan

FromData Career Podcast


47 How She Tripled Her Income in 18 Months w/ Data Analytics, Data Science, & Data Engineering w/ Kedeisha Bryan

FromData Career Podcast

ratings:
Length:
32 minutes
Released:
Feb 22, 2023
Format:
Podcast episode

Description

This is the story of how a warehouse worker pivoted into a senior data engineer in just 18 months while tripling her salary.   In this episode of The Data Career Podcast, Avery Smith sits down with Kedeisha Bryan on how she landed a data job and tripled her income in only 18 months.

? Join the data project club!
“25OFF” to get 25% off (first 50 members).

? Come to my next free “How to Land Your First Data Job” training
? Check out my 10-week data analytics bootcamp
Kedeisha’s Links:
Connect on LinkedIn
Join Data in Motion Community
Timestamps:
(9:19) - Why you need a sponsor in your life
(11:21) - You need common ground to network genuinely
(27:02) - Tired of sending job applications? Network instead
(30:16) - Know that this is a long game
Connect with Avery:
? Subscribe on YouTube: https://www.youtube.com/c/AverySmithDataCareerJumpstart/videos
?Listen to My Podcast: https://podcasts.apple.com/us/podcast/data-career-podcast/id1547386535
? Connect with me on LinkedIn: https://www.linkedin.com/in/averyjsmith/
? Instagram: https://www.instagram.com/datacareerjumpstart/
? TikTok: [https://www.tiktok.com/@verydata?](https://www.tiktok.com/@verydata?)


---

Send in a voice message: https://podcasters.spotify.com/pod/show/datacareerpodcast/message
Released:
Feb 22, 2023
Format:
Podcast episode

Titles in the series (100)

The Data Career Podcast: helping you break into data analytics, build your data career, and develop a personal brand