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.
3rd Year Statistics, Data Science, Computer Science Resume | Reviewing Your Resumes Ep. 1 | Tina Huang
Tina Huang
18 minutes
2 weeks ago
3rd Year Statistics, Data Science, Computer Science Resume | Reviewing Your Resumes Ep. 1 | Tina Huang
3rd Year Statistics, Data Science, Computer Science Resume | Reviewing Your Resumes Ep. 1
You should watch this video if you are applying for internships or full time jobs in software engineering and/or data science. In this video, I review Rachel's statistics, data science, and computer science resume, which she plans to submit for both data science and software engineering internships. I give in depth feedback, advice, and strategies for tailoring the resume for the role and how to pass ATS (Applicant Tracking Systems) that automatically parse resumes. 00:00 Intro00:54 What Rachel is Applying For01:15 Strategy for Multiple Resumes01:49 Start of Resume Review 03:34 Focus on Impact04:02 Beepbeep Cat Says Hi 05:26 Consistent Tenses + Active Verbs06:33 Simplify Language08:45 How to Structure Each Item10:50 Resume Formats11:59 ATS Automated Parsing 12:43 List Technologies13:26 My Resume Format13:45 Conclusion 14:11 How to Submit Resume for Me to ReviewRachel's channel: https://www.youtube.com/channel/UCGr65O0GnTxsynaXZULN9SAFeel free to email me about anything: hellotinah@gmail.com
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.
