A day in the life of a data scientist (FAANG data scientist remote) | Tina Huang

A day in the life of a data scientist (FAANG data scientist remote)This is a day in the life of a data scientist! I'm a FAANG data scientist currently working remotely due to the pandemic. This is a realistic day in my life. Hope you guys enjoy it! ______________________________________________________________________ How I learned SQL from Scratch in 11 Days to Pass my FAANG Data Science SQL Interview: https://www.youtube.com/watch?v=vaD3ZFFNwhM SQL Interview Question Walkthrough Series: https://www.youtube.com/playlist?list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA ______________________________________________________________________ My backstory: I was pre-med with a specialist (equivalent of major) in pharmacology at the University of Toronto. I worked in bioinformatics for a year before doing my masters in computer science at the University of Pennsylvania (UPenn MCIT). I interned at goldman sachs and am now a full time data scientist at a FAANG company. ______________________________________________________________________ Contact: linkedin: https://www.linkedin.com/in/tinaw-h/ (preferred) email: hellotinah@gmail.com *I'm the fastest to respond on youtube, followed by linkedin! Don't be a stranger ^^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: coding tutorials, career development, tech tutorials Learn more about your ad choices. Visit megaphone.fm/adchoices

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(228)

Biology to Data Science (data professor's tips on how to get a data science research position) | Tina Huang

Biology to Data Science (data professor's tips on how to get a data science research position)How did data professor transition from biology into data science? How do you get a research position with...

10 Loka 42min

I Built an AI App to Make Manga (From Zero Art Skills) | Tina Huang

I Built an AI App to Make Manga (From Zero Art Skills) Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize...

10 Loka 21min

🐙 Everything about Claude | Tina Huang

🐙 Everything about ClaudeWant 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🖱️...

10 Loka 1h 20min

How to choose between software engineering and data science | 5 Key Considerations | Tina Huang

How to choose between software engineering and data science | 5 Key ConsiderationsSoftware Engineering vs Data Science? Last year, I made a choice between a software engineering and a data science pos...

9 Loka 10min

5 Tasks In 10 Minutes With Manus | Tina Huang

5 Tasks In 10 Minutes With Manus 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 maximizi...

9 Loka 4min

Google's 9 Hour AI Prompt Engineering Course In 20 Minutes | Tina Huang

Google's 9 Hour AI Prompt Engineering Course In 20 MinutesTry out a free trial with StraighterLine to save thousands on tuition: https://www.straighterline.com/bkIf you want to check out the full AI P...

9 Loka 26min

ADE is here! | Tina Huang

ADE is here!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, s...

9 Loka 3min