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/@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.

  1. 1h ago

    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. --------- Keywords: data science, ai tools, gpt models, coding tips, ai safety, tina huang Learn more about your ad choices. Visit megaphone.fm/adchoices

    52 min

  2. 2h ago

    Claude 4 Models & Claude Code Fundamentals In 24 Minutes | Tina Huang

    Claude 4 Models & Claude Code Fundamentals In 24 Minutes Try 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=INymz5VwLmk How 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/@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. - -------------- -------------- Keywords: ai development, ai tools, machine learning, programming Learn more about your ad choices. Visit megaphone.fm/adchoices

    30 min

  3. 4h ago

    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. ---------- Keywords: ai development, open source ai, gemini ai, coding tutorials, tech insights, tech productivity, ai safety, chatbots Learn more about your ad choices. Visit megaphone.fm/adchoices

    20 min

  4. 5h ago

    Watch This If You Need AI Use Cases Inspo | Tina Huang

    Watch This If You Need AI Use Cases Inspo 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. ------- ------------- Keywords: coding tips, coding tutorials, gpt models, tech career, tina huang, data science, ai safety, open source ai Learn more about your ad choices. Visit megaphone.fm/adchoices

    4 min

  5. 6h ago

    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 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. ------------ Keywords: ai development, tech interview, artificial intelligence, open source ai, data science, tech career, ai podcast, tech insights Learn more about your ad choices. Visit megaphone.fm/adchoices

    11 min

  6. 7h ago

    Why you keep quitting online courses (and then buy more) | Tina Huang

    Why you keep quitting online courses (and then buy more) Head to http://brilliant.org/TinaHuang/ to get started for free with Brilliant's interactive lessons. The first 200 people will also get 20% off an annual membership.✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: In this video, I talk about why you keep quitting your online courses and then go and buy more. Then the cycle repeats itself... 🖱️ Some Additional Resources========================https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046684/https://www.researchgate.net/publication/330316898_The_MOOC_pivot https://files.eric.ed.gov/fulltext/EJ1062943.pdfI didn't address explicitly that having degrees/certificates that actually mean something (like for Coursera and Udacity) also helps a lot with engagement, although of course that also makes them more expensive: https://docs.wixstatic.com/ugd/cc7beb_5803e625ebee463ebc6f4796027366f1.pdf🔗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📲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! :) 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. --------------- Keywords: tech productivity, tech interview, tech tutorials, ai trends, coding tips, machine learning, ai fundamentals Learn more about your ad choices. Visit megaphone.fm/adchoices

    19 min

  7. 8h ago

    The software engineering resume that got me into FAANG and Goldman Sachs (internship) | Tina Huang

    The software engineering resume that got me into FAANG and Goldman Sachs (internship) his is my software engineering resume that got me internship offers from goldman sachs and amazon. Looking back now, this resume really isn't the best but despite how hard I roast it, it still is the resume that got me my internship offers :) Enjoy!Videos mentioned: The resume that got me into FAANG as a data scientist: https://www.youtube.com/watch?v=vx-x-yXXE9IHow I got software engineering and data science internships: https://www.youtube.com/watch?v=Rx1i1J4m4MQ ______________________________________________________________________You might also be interested in these videos: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______________________________________________________________________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! :)#SoftwareEngineeringResume #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. -------------- Keywords: ai safety, coding tutorials, ai tools, programming Learn more about your ad choices. Visit megaphone.fm/adchoices

    8 min

  8. 9h ago

    How I trick myself to be self-disciplined | Tina Huang

    How I trick myself to be self-disciplined Start building your ideal daily routine! The first 100 people who click on the link will get 25% OFF on Fabulous Premium: http://thefab.co/tinahuang2✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: In this video, I talk about all the ways I trick myself to be self-disciplined to study and just get things done in general. 🖱️Links mentioned in video========================lockbox: https://amzn.to/3G4oMsz🔗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📲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! :) 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. -------------- Keywords: tech productivity, ai trends, coding tutorials, ai learning, ai tools, ai agents, llm comparison, ai development Learn more about your ad choices. Visit megaphone.fm/adchoices

    15 min
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Ratings & Reviews

3
out of 5
2 Ratings

About

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.

Information

  • Creator
    Tina Huang
  • Years Active
    2025 - 2026
  • Episodes
    236
  • Rating
    Explicit
  • Copyright
    © Tina Huang

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