The data science resume that got me my FAANG (MANGA?) job (entry level data scientist) | Tina Huang

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