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I know my profile may not be the best fit but we all have got to try and reach for the stars.
Not your question, but maybe try a place like Veeva first. You seem to have the credentials and it’s a big-shot Silicon Valley Startup that might shift your resume towards FAANG.
Analytics and DS are related but not the same.
Building basic models isn’t enough. Most FAANG shops are looking for deep research or implementation.
I’m deep implementation, meaning I’ve built and deployed into production 8 live models that took 3-6 months to build.
Even then, FB said, well that’s good,but do you have a PhD?
Spend more time understanding how to design ML systems and solutions. Get used to cloud tools for deploying models and get experience that you put in a resume.
You can build an xgboost model with 4 clicks of a button and not write a single line of code and knn can be done in about 5 lines of code so this really aren't differentiating skills at this point. You need to demonstrate expertise in the other aspects of building ML
I think it depends on what type of designation you aim for at FAANG. If you go for a DS role specifically, your skills are not off honestly though cloud computing platform familiarity like AWS, GCP or Azure would be a boost. But if you aim for designations like Machine Learning Engineer, AI researcher, applied scientist, etc. then the comment above are certainly applicable. Being able to build and deploy into production is key. There is some debate on platforms like Quora that DS designation roles at FAANG or F specifically are not truly DS roles but more just advanced data analytics roles but if the DS salary is what you are aiming for, then it could work out.