Say that I have a height dataset given some other variables and there's a guy who's like 8 feet tall. Sure there are people who are 8 feet tall, why should I worsen my prediction of everyone else if the prediction of the guy will be off by a lot as well? It's literally lose lose and if my error metric is quadratic it's gonna skew significantly with outliers.
As you probably know Google Careers doesn't allow us to edit anything on the application after submission and I have just realized my CV only has the expected graduation year, not year and month (as they explicitly request in bold lmao)
To top it all off my transcript is in Portuguese and they explicitly ask for it in English
Am I overthinking or did I fuck up? I thought about just applying again from a different Careers profile, but I'm pretty sure this would be counterproductive.l
Googled this but didn't find a good answer
I'm American and X and have lived in X my entire life. I'm currently an undergrad in CS and should graduate in about a year. I'm an intern at Amazon (in the X office) but I don't really care about the return offer since it'd be for a position in X and I'm interested in moving to the US as soon as I graduate.
My english is native-level, I don't need H1B/visa sponsorship since I'm American, I have a strong CV and whatever. I'd love to apply to the upcoming new-grad roles in big tech, since as far as they're concerned I'm an american new grad in CS, just from abroad?
I'm just wondering how to avoid getting my resume sent into the foreigners void, or how I could even go through the process, given phone screens (international number), on-site interviews, like am I fucked?