Tina Huang

Building unhinged AI projects?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. --------- Keywords: ai learning, coding tips, tech interview, gemini ai Learn more about your ad choices. Visit megaphone.fm/adchoices

Ranking AI Skills From 1 to 10Tina 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. --------------- Keywords: tech interview, gpt models, ai safety, llm comparison, ai learning Learn more about your ad choices. Visit megaphone.fm/adchoices

Every Essential AI Skill in 25 Minutes (2025)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. -------------- Keywords: ai trends, gemini ai, tina huang, llm comparison, artificial intelligence, machine learning Learn more about your ad choices. Visit megaphone.fm/adchoices

The data science resume that got me my FAANG (MANGA?) job (entry level data scientist)In this video, I go through the resume that got me into FAANG as a data scientist. The resume is the key to getting that interview, which is definitely the hardest part of the entire application process for a data scientist. Our role is super popular but actual positions few and far between. That's why I spent A LOT of time on this resume to get my foot in the door. We're going to go through this line by line and item by item as I go into the details and roast it hard. Sit back and enjoy! :)📜My resume: https://drive.google.com/file/d/1RS06YjcV4GoxZD0EOI3chzw9UgH20o4F/view?usp=sharing🔗Affiliates ======================== 365 Data Science: https://bit.ly/3tIUBCY (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tinaGoogle Data Analytics Certificate on Coursera: https://bit.ly/33tYQYA📲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 #DataScienceResume #TinaHuangFollow 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. ------- Keywords: tech productivity, ai podcast, self study, ai fundamentals, ai learning, llm comparison Learn more about your ad choices. Visit megaphone.fm/adchoices

3 More Unique and Impactful Projects to get a Data Science JobHi everyone, I'm back with 3 more data science projects for everyone that is in school or out of school, no matter your experience level, and even if you're only a few weeks from when you start applying for internships or jobs. Remember, us data scientists are measured by how much impact that we have. And that's what recruiters are also looking for on a candidate's resume! So these projects are all about high impact.Minimize effort and maximize outcome! I hope you guys enjoy it! :)Timestamps: 00:00 Intro 01:11 Pro Bono Consulting 04:33 Thank you all :) 05:02 Open Source Projects 06:15 Hackathons & Datathons 08:08 Summary ______________________________________________________________________ You might also be interested in these videos:Youtube comments sentiment analysis project (super beginner friendly + full code provided): https://www.youtube.com/watch?v=kHOVWiZKpHM Day in the life of a FAANG Data Scientist: https://www.youtube.com/watch?v=lCi6fWuI8r4 How 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 but I might suck at responding) 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! :)#DataScience #DataScienceProject #TinaHuang ______________________________________________________________________ Music Credit: Bensound.comFollow 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. ----------- Keywords: artificial intelligence, ai learning, tina huang Learn more about your ad choices. Visit megaphone.fm/adchoices

Internship that made me rethink my career...(technology summer analyst at Goldman Sachs)I worked on data science although I interviewed as a software engineer. This is my experience as a technology summer analyst at Goldman Sachs. Spoiler: I did not really like it tbh🔗Affiliates ======================== 365 Data Science: https://bit.ly/3tIUBCY (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tinaGoogle Data Analytics Certificate on Coursera: https://bit.ly/33tYQYA🎥 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 00:17 How I asked to work in data science 01:20 Orientation 01:52 Real orientation schedule 02:25 Start of uh oh 04:32 Start of work 05:08 My project (data retrieval + ML) 07:20 More uh oh 08:32 ML details 10:00 Presentations 10:15 Why did I not come back 12:10 Reflections📲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! :)#GoldmanSachs #TechnologySummerAnalyst #DataScience #TinaHuangFollow 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. ------ Keywords: vibe coding, open source ai, ai podcast Learn more about your ad choices. Visit megaphone.fm/adchoices

How I Became a Data Scientist | Computer Science Job Search Part 2This is part 2 of my internship and job search experience while attending MCIT at University of Pennsylvania (UPenn). I talk about how I got a full time data science job. Check out part 1 for how I got internships for software engineering and data science at Amazon and Goldman Sachs: https://www.youtube.com/watch?v=Rx1i1J4m4MQ 00:00 Intro 00:35 Goldman Sachs Internship Reflection 02:13 Management Consulting Detour 03:41 Back to Data Science 03:59 Tech Data Science Interview 05:42 Offer and Graduation 06:11 3 Tips for You 07:31 ConclusionFeel free to email me about anything: hellotinah@gmail.comMusic Credit Source: https://www.bensound.com/ Songs: Epic, Instinct, PopdanceFollow 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. --------- Keywords: coding tips, vibe coding, ai apps, machine learning Learn more about your ad choices. Visit megaphone.fm/adchoices

🐙 Building AI AgentsWant to get resources from this livestream? Sign up here so I can email them to you: https://www.lonelyoctopus.com/workshop🤝 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/@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: open source ai, coding tips, ai safety, llm comparison, machine learning, career development, ai agents Learn more about your ad choices. Visit megaphone.fm/adchoices

AI Safety In 35 MinutesTina 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.----------------------------- ---------- Keywords: llm comparison, open source ai, ai fundamentals, self study, gemini ai, ai podcast, gpt models, vibe coding Learn more about your ad choices. Visit megaphone.fm/adchoices

🐙 1M Celebration x HackathonTina 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.---------------------- --- Keywords: gemini ai, tech career, coding tutorials, programming Learn more about your ad choices. Visit megaphone.fm/adchoices