

Tina Huang
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/@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.
Episodes
Mentioned books

Aug 15, 2025 • 24min
The MOST Important Skills To Learn in 2024 | Tina Huang
The MOST Important Skills To Learn in 2024
Want to get ahead in your career using AI? Join my FREE workshop: https://www.lonelyoctopus.com/workshopStart building your portfolio website RIGHT NOW with Hostinger: https://www.hostinger.com/tinahuang (get 10% off with code TINAHUANG)In this video I talk about the most important things to learn in 2024 and beyond. ✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: 🤖 AI Lunch & Learn series: https://www.lonelyoctopus.com/email-signupIt's a FREE weekly 1hr livestream about AI & tech topics eg. How to build a GPT, how to build AI products, jobs in the era of AI etc. 🐙 Lonely Octopus: https://www.lonelyoctopus.com/Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects! 🤝 Business Inquiries: https://tally.so/r/mRDV99🖱️Links mentioned in video========================🔗Affiliates========================My SQL for data science interviews course (10 full interviews):https://365datascience.com/learn-sql-for-data-science-interviews/ 365 Data Science: https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina🎥 My filming setup ========================📷 camera: https://amzn.to/3LHbi7N🎤 mic: https://amzn.to/3LqoFJb🔭 tripod: https://amzn.to/3DkjGHe💡 lights: https://amzn.to/3LmOhqk⏰Timestamps========================00:00 intro 📲Socials ========================instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🎥Other videos you might be interested in========================How I consistently study with a full time job:https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈⬛🐈⬛About me ========================Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person! 📧Contact========================youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com ========================Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
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

Aug 15, 2025 • 23min
The BEST Upcoming Jobs | Tina Huang
The BEST Upcoming Jobs
Want to get ahead in your career using AI? Join my FREE workshop: https://www.lonelyoctopus.com/workshopYou can now generate ENTIRE videos from a text prompt! Get started creating AI videos for free at https://invideo.io/i/TinaHuang P.S. If you’re serious about video creation and want to publish videos without watermarks, you can upgrade to a paid plan starting at $20/month! In this video I talk about the best jobs in 2024 and how to find these underrated jobs. ✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: 🤖 AI Lunch & Learn series: https://www.lonelyoctopus.com/email-signupIt's a FREE weekly 1hr livestream about AI & tech topics eg. Ho w to build a GPT, how to build AI products, jobs in the era of AI etc. 🐙 Lonely Octopus: https://www.lonelyoctopus.com/Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects! 🤝 Business Inqueries: https://tally.so/r/mRDV99🖱️Links mentioned in video========================🔗Affiliates========================My SQL for data science interviews course (10 full interviews):https://365datascience.com/learn-sql-for-data-science-interviews/ 365 Data Science: https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina🎥 My filming setup ========================📷 camera: https://amzn.to/3LHbi7N🎤 mic: https://amzn.to/3LqoFJb🔭 tripod: https://amzn.to/3DkjGHe💡 lights: https://amzn.to/3LmOhqk⏰Timestamps========================00:00 intro 📲Socials ========================instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🎥Other videos you might be interested in========================How I consistently study with a full time job:https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈⬛🐈⬛About me ========================Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person! 📧Contact========================youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com ========================Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
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

Aug 12, 2025 • 9min
How to learn math for data science (the minimize effort maximize outcome way) | Tina Huang
How to learn math for data science (the minimize effort maximize outcome way)
In this video, I cover how to learn math for data science - the minimize effort and maximize outcome way! You also get a look at my transcript c: ______________________________________________________________Links mentioned in video:Linear Regression Statquest with Josh Starmer: https://www.youtube.com/watch?v=PaFPbb66DxQ&list=PLblh5JKOoLUIzaEkCLIUxQFjPIlapw8nU______________________________________________________________________You might also be interested in these videosHow to learn learn data science in 2021:https://www.youtube.com/watch?v=Axu4tJl8gbMDay in the life of a FAANG data Scientist: https://www.youtube.com/watch?v=lCi6fWuI8r4How to choose between software engineering and data science:https://www.youtube.com/watch?v=JUkSeqe1eYQ______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Real SQL interview question walkthrough series: https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dACheck out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina______________________________________________________________________Contactyoutube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ (second preferred but I might suck at responding)email: hellotinah@gmail.com *If you're reaching out through linkedin or email, please leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________*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 #MathforDataScience #TinaHuang
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

Aug 12, 2025 • 10min
the most underrated data job in 2021 | Tina Huang
the most underrated data job in 2021
Hi friends! This is an introduction to the most underrated data job in 2021 (in my opinion).______________________________________________________________________LinksInterview query report:https://www.interviewquery.com/blog-data-science-interview-report/Karolina's video about DE: https://www.youtube.com/watch?v=q59rbUyhKCgArticle about DE: https://medium.com/datadriveninvestor/2021-rockstar-data-engineer-roadmap-46d429679a4b______________________________________________________________________Timestamps00:00 Data engineering!00:35 Salary 00:50 What do data data engineers do04:08 Required skills 05:44 How to become a data engineer ______________________________________________________________________Other videos you might be interested inHow to learn data science in 2021: https://www.youtube.com/watch?v=Axu4tJl8gbMThe resume that got me into FAANG as a data scientist: https://www.youtube.com/watch?v=vx-x-yXXE9I______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Real SQL interview question walkthrough series: https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dACheck out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina______________________________________________________________________About me Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :) I have accepted that I will forever be a lazy person so have since decided to embrace that. My motto is to always minimize effort and maximize outcome!______________________________________________________________________Contactyoutube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com *If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________*The StrataScratch affiliate program give me a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)#DataEngineering #Tech #TinaHuang
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

Aug 2, 2025 • 1h 37min
🐙 Lunch & Learn: How to use AI to Solve Tiny Annoying Things | Tina Huang
🐙 Lunch & Learn: How to use AI to Solve Tiny Annoying Things🤖 Sign up here to get accompanying workbooks, summaries, and notifs for future lunch & learns: https://www.lonelyoctopus.com/email-signup✉️ NEWSLETTER: https://tinahuang.substack.com/
It's about learning, coding, and generally how to get your sh*t together c:🐙 Lonely Octopus: https://www.lonelyoctopus.com/
Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects!🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/learn-sql-for-data-science-interviews/https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk📲Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX🤯Study with Tina
========================
Study with Tina channel:
https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwHow to make a studying scoreboard:
https://www.youtube.com/watch?v=KAVw910mIrIScoreboard website:
scoreboardswithtina.comlivestreaming google calendar:
https://bit.ly/3wvPzHB🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈⬛🐈⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: hellotinah@gmail.com========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)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.----------------------- Learn more about your ad choices. Visit megaphone.fm/adchoices

Jul 31, 2025 • 51min
Interview with a quant trader | Tina Huang
Interview with a quant trader
This is an extremely lucrative but pretty mysterious job that I know many people are interested in learning more about. In this video, I interview Worthan Kwan, a quant trader at a hedge fund to learn about his day to day, how much money people are really making, what the requirements are to become a quant trader, and much more! I also made a post a few weeks back crowdsourcing questions and I'm pretty proud to say that we got through almost all of them in this video :D ______________________________________________________________________Resources mentioned in video: https://arithmetic.zetamac.com/______________________________________________________________________You might also be interested in these videos:The Resume that got me my FAANG job (entry level data scientist):https://www.youtube.com/watch?v=vx-x-yXXE9I Day in the life of a FAANG Data Scientist: https://www.youtube.com/watch?v=lCi6fWuI8r4How I learned SQL from Scratch in 11 Days to Pass my FANG SQL Interview: https://www.youtube.com/watch?v=vaD3ZFFNwhM______________________________________________________________________Timestamps: 00:00 Intro 00:40 His background02:54 Why quant trading?04:00 Why he did a masters in computer science 05:18 Day in the life of quant trader 09:23 Salary expectations + career growth15:28 Words of warning 16:38 Why quant trading + how to get interview19:22 Non traditional background? 22:14 Trading related projects23:10 Interview tips 25:24 What math do you need 30:12 Quant trader vs research vs engineer34:05 How stressful is the job 39:26 Lightning round 41:00 What he would have studied in undergrad 42:09 Advice for breaking into the field ______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina______________________________________________________________________Contact:youtube: youtube comments are by far the best way to get a response from me! I answer every single comment! linkedin: https://www.linkedin.com/in/tinaw-h/ (second preferred)email: hellotinah@gmail.com *If you're reaching out through linkedin or email, I can get back to you the fastest if you leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________*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! :)#QuantTrader #HedgeFund #QuantTraderInterview
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

Jul 31, 2025 • 29min
Claude 4 Models & Claude Code Fundamentals In 24 Minutes | Tina Huang
Claude 4 Models & Claude Code Fundamentals In 24 MinutesTry out the new model capabilities through Claude.ai & Claude Code on the Pro or Max plan: http://clau.de/tinahuang
#claudepartner @anthropic-ai🤖 Sign up for my upcoming 4-week AI Agents Bootcamp! https://www.lonelyoctopus.com/ai-agent-bootcamp🤖 Want to get ahead in your career using AI? Join my FREE workshop: https://www.lonelyoctopus.com/workshop✉️ NEWSLETTER:
https://tinahuang.substack.com/
It's about learning, coding, and generally how to get your sh*t together c:🐙 Lonely Octopus:
https://www.lonelyoctopus.com/
Check it out if you're interested in learning AI & data skills and how to apply them to real freelance projects!🤝 Business Inquiries: https://tally.so/r/mRDV99🖱️Links mentioned in video
========================🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/learn-sql-for-data-science-interviews/365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk⏰Timestamps
========================
00:00 intro📲Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈⬛🐈⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: hellotinah@gmail.com========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)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/@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

Jul 26, 2025 • 18min
What's the best certificate for data analysts? Google vs IBM Data Analyst Certificate | Tina Huang
What's the best certificate for data analysts? Google vs IBM Data Analyst Certificate
In this video I do an in depth comparison between the Google vs IBM data analyst certificate. I do an overview of both certificates and then go through the similarities, differences, my recommendation, and finally how to choose what's best for you. Luke's video: https://www.youtube.com/watch?v=fmLPS6FBbac📜Google Data Analytics Certificate: https://coursera.pxf.io/5bD1vL📜IBM Data Analytics Certificate: https://coursera.pxf.io/15MZvd🔗Affiliates========================My SQL for data science interviews course (10 full interviews):https://365datascience.com/learn-sql-for-data-science-interviews/ 365 Data Science: https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina🎥 My filming setup ========================📷 camera: https://amzn.to/3LHbi7N🎤 mic: https://amzn.to/3LqoFJb🔭 tripod: https://amzn.to/3DkjGHe💡 lights: https://amzn.to/3LmOhqkTimestamps========================00:00 Intro00:53 Google data analytics certificate overview02:21 IBM data analyst certificate overview03:02 Similarities03:50 Differences - Career development 03:40 Differences - Tech stack 06:38 Differences - Teaching style08:27 Differences - Language08:42 Differences - Projects esp. Capstone project10:19 My recommendation & why12:42 Why choose google 13:03 Why choose IBM 📲Socials ========================instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🤯Study with Tina ========================Study with Tina channel:https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwHow to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrIScoreboard website: scoreboardswithtina.comlivestreaming google calendar:https://bit.ly/3wvPzHB🎥Other videos you might be interested in========================How I consistently study with a full time job:https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈⬛🐈⬛About me ========================Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :) 📧Contact========================youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com ========================Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)#datascience #dataanalyst #certificate #TinaHuang
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

Jul 25, 2025 • 2min
Watch This If You Need AI Use Cases Inspo | Tina Huang
Watch This If You Need AI Use Cases InspoTina 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/@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

Jul 23, 2025 • 10min
How I chose my masters degree (as an international student) | Tina Huang
How I chose my masters degree (as an international student)
I'm a FAANG data scientist but my masters was in computer science? This was actually very intentional! In this video, I outline how I chose my computer science masters degree. I was an international student looking to study in the United States who did not have a technical degree in computer science, engineering, or anything even remotely related. I was gonna be a doctor lol. ______________________________________________________________________Ken's video on how he chose his masters degree: https://www.youtube.com/watch?v=domVw8isGOI&t=303sOur collab video on 7 Things to Look For in a Masters For Data Science:https://www.youtube.com/watch?v=ji7DtgUeKCI______________________________________________________________________You might also be interested in these videos:Upenn MCIT experience: https://www.youtube.com/watch?v=KsQU_3n0IYEThe Resume that got me my FAANG job (entry level data scientist):https://www.youtube.com/watch?v=vx-x-yXXE9I Day in the life of a FAANG Data Scientist: https://www.youtube.com/watch?v=lCi6fWuI8r4 ______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tinaAlso my SQL data science interview question walkthroughs in real interview style: hhttps://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA&index=1______________________________________________________________________Contact:youtube: youtube comments are by far the best way to get a response from me! I answer every single comment! linkedin: https://www.linkedin.com/in/tinaw-h/ (second preferred)email: hellotinah@gmail.com *If you're reaching out through linkedin or email, I can get back to you the fastest if you leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________*The StrataScratch affiliate program gives 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 #ComputerScience #ComputerScienceMasters
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