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.
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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.
Data Science Resume Round-Up With @KenJee_ds - Episode 2 | Tina Huang
Tina Huang
39 minutes
2 weeks ago
Data Science Resume Round-Up With @KenJee_ds - Episode 2 | Tina Huang
Data Science Resume Round-Up With @KenJee_ds - Episode 2
In this video Ken Jee and I go through another 5 subscriber submitted resumes and review them. In this data science resume review episode, we give some of our best tips and suggestions to improve them. Here's to landing a data science job :D __________________________________________________________________Ken's Channel For Next Week's Episode: https://www.youtube.com/channel/UC2UX...______________________________________________________________________Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina______________________________________________________________________Check out these videos:Resume Review Episode 1: https://www.youtube.com/watch?v=Ft4GVkQQtgkKen's interview with me: https://www.youtube.com/watch?v=vfV4nm004VQMy first resume review: https://www.youtube.com/watch?v=mueI-I7Suxw______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Contact:linkedin: https://www.linkedin.com/in/tinaw-h/ (preferred)email: hellotinah@gmail.com *I can get back to you the fastest if you leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________Music Credit: TheFatRat & Anjulie - Close To The Sun *The StrataScratch affiliate program give me a small portion of the sales price at no cost to you. I'm currently not monetized and really appreciate your support in helping improve this channel! :)#DataScience #TinaHuang #ResumeReview
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.
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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.
