cake and big sister advice 🖤 | Tina Huang

Why you should not work at FAANG/MANGA (Meta/Facebook, Amazon, Apple, Netflix, Google) | Tina Huang

Why you should not work at FAANG/MANGA (Meta/Facebook, Amazon, Apple, Netflix, Google) I talk about my experience working in big tech (Meta/Facebook, Amazon, Apple, Netflix, Google) and the reasons why you should not work there. Mayuko's vid: https://www.youtube.com/watch?v=ZxCUnxwR89Q 🔗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/UCI8JpGrDmtggrryhml8kFGw How to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrI Scoreboard website: scoreboardswithtina.com livestreaming 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=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 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/@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. ----- Keywords: coding tips, tech career, tech insights Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

Data Science vs Software Engineering Interview | 3 Key Differences | Tina Huang

Data Science vs Software Engineering Interview | 3 Key Differences Hi frends! In this video, I go through the 3 key differences between the data science vs software engineering interview. I also give y'all my best tips on how to ace them both. I think this is super helpful if you're applying for both at the same time - just like I did. I previously also made a video on the 5 key differences of software engineering vs data science and how I chose between the two. So if you haven't already, I highly recommend checking that out too. Enjoy! :) ______________________________________________________________________ You might be interested in these videos: How to choose between software engineering and data science: https://www.youtube.com/watch?v=JUkSeqe1eYQ Ultimate guide to land a data science internship: https://www.youtube.com/watch?v=kO_LUVkKdJM 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=tina ______________________________________________________________________ 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 :) ______________________________________________________________________ *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 #Softwareengineering #Softwareengineeringvsdatascience #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/@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. ---- Keywords: ai agents, ai fundamentals, self study Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

Upenn MCIT Program Details and Real Student Experiences - Dr. Arvind Bhusnurmath | Tina Huang

Upenn MCIT Program Details and Real Student Experiences - Dr. Arvind Bhusnurmath Hi everyone, I'm so excited to share this video with anyone that is interested in MCIT at the University of Pennsylvania (UPenn) or even currently enrolled! This video is a deep dive into MCIT and goes beyond all the stats you can find already online. Arvind and I talk about real experiences of real students and he gives amazing insights into what MCIT is about and if you are someone that should really dedicate yourself to this program. Arvind is not only the director of MCIT, professor, and my past boss (I was a TA for one of his classes), but also an incredible mentor and human being. He's honest, extremely intelligent, caring, and humble (sorry Arvind I know I'm probably embarrassing you haha). I was worried that this interview-style video is too long, but I decided to do very minimal editing and just post it because I think it's just so valuable. I added timestamps though so please feel free to skip around! I really hope you enjoy it and find it useful :) 00:00 Intro - Arvind 01:14 MCIT program overview 04:20 What makes a good MCIT candidate 09:30 Culture 11:47 Online vs on-campus + how to choose 21:19 Internships and jobs 37:28 COVID-19 impact 38:30 Future of employment 43:32 What not to write on your personal statement 44:30 Application tips 47:10 Lightning round ______________________________________________________________________ email: hellotinah@gmail.com linkedin: https://www.linkedin.com/in/tinaw-h/ ______________________________________________________________________ Contact: email: hellotinah@gmail.com linkedin: https://www.linkedin.com/in/tinaw-h/ ______________________________________________________________________ Music Credit: Bensound.com - Jazzy French ______________________________________________________________________ Links: https://www.cis.upenn.edu/alumni/mcit/ 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. --- Keywords: artificial intelligence, llm comparison, data science Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

🐙 Lunch & Learn: Build and Deploy Python API Workshop | Tina Huang

🐙 Lunch & Learn: Build and Deploy Python API Workshop A 1 hour lunch & learn workshop on Building and Deploying a Python API Keith Galli https://www.youtube.com/kgmit A Boston-based computer scientist and MIT graduate, known for creating tutorials on Python programming and data science on YouTube. He also works as a data scientist and has gained recognition as a tech YouTuber in the field of computer science. 🤖 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/UCI8JpGrDmtggrryhml8kFGw How to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrI Scoreboard website: scoreboardswithtina.com livestreaming 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=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! :) 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. ----- Keywords: tech interview, machine learning, llm comparison, chatbots, gpt models, tech career, ai trends, open source ai Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

Why being a data scientist is awesome! | Tina Huang

Why being a data scientist is awesome! In the last video, we talked about why you should not be a data scientist. If you still think that data science could be the right career path for you then this video is for you! In this video, we're going to flip it around and talk about why being a data scientist is awesome! Which I clearly think it is since I'm here talking to you still as a full time data scientist :) 🔗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 Timestamps 00:00 Intro 00:31 6 figure entry level salary 02:21 freedom to explore 03:32 applicable to many industries 04:41 never get bored 06:40 specialization 08:26 easily transferable to other roles _____________________________________________________________________ instagram: https://www.instagram.com/hellotinah/ linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX study with Tina channel: https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGw livestreaming google calendar: https://bit.ly/3wvPzHB _____________________________________________________________________ Other videos you might be interested in Why you should not be a data scientist: https://www.youtube.com/watch?v=sOZ8MxFw8TQ&t=36s Why I work so hard (despite having a 'good' job): https://www.youtube.com/watch?v=XPYT8BaTqoA&t=112s How I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s ______________________________________________________________________ Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1 ______________________________________________________________________ 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 If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________ Links marked with * are tracking links that track traffic that comes from my channel. Links marked with ** are affiliate links where I receive a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :) #whydatascience #tech #datascience #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/@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. ------------- Keywords: vibe coding, tech productivity, ai agents, ai apps, ai development, tech insights, tech career Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]