Tina is a former data scientist at Meta.
Her channel focuses on AI, coding, tech, career development, and self-study.
Always striving to minimize effort while maximizing outcomes.
In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI.
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1
Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
All content for Tina Huang is the property of Tina Huang and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Tina is a former data scientist at Meta.
Her channel focuses on AI, coding, tech, career development, and self-study.
Always striving to minimize effort while maximizing outcomes.
In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI.
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1
Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
A day in the life of a data scientist (FAANG data scientist remote) | Tina Huang
Tina Huang
9 minutes
2 weeks ago
A day in the life of a data scientist (FAANG data scientist remote) | Tina Huang
A day in the life of a data scientist (FAANG data scientist remote)
This is a day in the life of a data scientist! I'm a FAANG data scientist currently working remotely due to the pandemic. This is a realistic day in my life. Hope you guys enjoy it! ______________________________________________________________________ How I learned SQL from Scratch in 11 Days to Pass my FAANG Data Science SQL Interview: https://www.youtube.com/watch?v=vaD3ZFFNwhMSQL Interview Question Walkthrough Series: https://www.youtube.com/playlist?list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA______________________________________________________________________My backstory: I was pre-med with a specialist (equivalent of major) in pharmacology at the University of Toronto. I worked in bioinformatics for a year before doing my masters in computer science at the University of Pennsylvania (UPenn MCIT). I interned at goldman sachs and am now a full time data scientist at a FAANG company. ______________________________________________________________________ Contact:linkedin: https://www.linkedin.com/in/tinaw-h/ (preferred)email: hellotinah@gmail.com *I'm the fastest to respond on youtube, followed by linkedin! Don't be a stranger ^^
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
------------------------------
Learn more about your ad choices. Visit megaphone.fm/adchoices
Tina Huang
Tina is a former data scientist at Meta.
Her channel focuses on AI, coding, tech, career development, and self-study.
Always striving to minimize effort while maximizing outcomes.
In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI.
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1
Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
