How to Become a Data Scientist at FAANG (Ft. Tina Huang)
In this video, I had the opportunity to talk with Tina Huang, a Data Scientist at one of the FAANG companies. In her journey of eventually becoming a data scientist, Tina started out with an undergraduate in Pharmacology. Her first stepping stone into data science was being a research assistant in Bioinformatics. She then pursued a Masters degree in Computer Science and her second stepping stone was a software engineering internship at Goldman Sachs. Recently, she had landed a job as a Data Scientist at one of the FAANG companies (Facebook, Amazon, Apple, Netflix, Google).
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Chapters (17)
Intro
1:08
Educational Background (Pharmacology Undergraduate / Masters in Computer Science
2:59
Describe your Bioinformatics research work (cancer genetics research)
4:57
Releasing an Open dataset and crowdsourcing the dataset for a joint publication
8:04
Challenge in Bioinformatics: Access to data
8:37
How did you prepare for the interview, the preparation process and eventually la
11:45
How did you know which language to use for the interview (Insights on necessary
13:02
How did you jumped into Software Engineering
16:13
How many data science roles have you applied for before landing the Data Scienti
18:00
How long did the entire job application process took?
20:10
How did you learn SQL in 11 Days
22:10
How does a typical day as a FAANG data scientist looks like?
24:00
How did you learn coding? R? Python?
27:15
What language are you using as a FAANG data scientist?
28:43
Was learning to code difficult (coming from a non-technical background)?
30:43
What's your favorite IDE for coding?
32:21
Mindset for learning co
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