Tina Huang

Internship that made me rethink my career...(technology summer analyst at Goldman Sachs) | Tina Huang

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jakson Internship that made me rethink my career...(technology summer analyst at Goldman Sachs) | Tina Huang kansikuva

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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/33tYQYAđŸŽ„ My Filming Setup ======================== đŸ“· camera: https://amzn.to/3LHbi7N đŸŽ€ 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 ReflectionsđŸ“ČSocials ======================== instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/discord: https://discord.gg/5mMAtprshXđŸ€ŻStudy 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/3wvPzHBđŸŽ„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 [https://megaphone.fm/adchoices]

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jakson Investing In 52 Minutes | Tina Huang kansikuva

Investing In 52 Minutes | Tina Huang

Investing In 52 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.------- ---------------Investing In 52 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: chatbots, ai projects, ai trends Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

7. heinÀ 20261 h 2 min
jakson Model Context Protocol (MCP) In 26 Minutes (no-code & code tutorial) | Tina Huang kansikuva

Model Context Protocol (MCP) In 26 Minutes (no-code & code tutorial) | Tina Huang

Model Context Protocol (MCP) In 26 Minutes (no-code & code tutorial) 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: tech tutorials, data science, tina huang, machine learning, ai podcast, ai apps, open source ai Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]

7. heinÀ 202631 min
jakson Building unhinged AI projects? | Tina Huang kansikuva

Building unhinged AI projects? | Tina Huang

Building unhinged AI projects?ï»żTina 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 [https://megaphone.fm/adchoices]

7. heinÀ 20262 min
jakson Ranking AI Skills From 1 to 10 | Tina Huang kansikuva

Ranking AI Skills From 1 to 10 | Tina Huang

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 [https://megaphone.fm/adchoices]

7. heinÀ 20262 min
jakson Every Essential AI Skill in 25 Minutes (2025) | Tina Huang kansikuva

Every Essential AI Skill in 25 Minutes (2025) | Tina Huang

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 [https://megaphone.fm/adchoices]

Eilen31 min