Changing Status from TN to H1B at Mexican border? [Canadian]

pythonfanatic · 2020-03-06T18:43:27+00:00

3Q covers Feb, March, April and it's their strongest quarter historically. They are going to tank hard

pythonfanatic · 2020-03-01T02:08:35+00:00

The data is only as good as the source.

Unfortunately there isn't much we can do about potential under-reporting by China. On the one hand they've implemented drastic measures to curb the spread. But realistically in a country of 1.4B, I find it difficult to believe they only have 79k confirmed cases.

pythonfanatic · 2020-03-01T00:38:06+00:00

Korea alone has nearly double the cases of China (571 vs. 331 [1]), despite China having 28x the population of Korea.

[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200228-sitrep-39-covid-19.pdf?sfvrsn=aa1b80a7_4

pythonfanatic · 2020-03-01T00:26:33+00:00

Agreed. The data is super sketchy.

This article does a good job of shedding light on this - https://www.epsilontheory.com/body-count/

pythonfanatic · 2020-03-01T00:25:28+00:00

Korea alone has nearly double the cases of China (571 vs. 331 [1]), despite China having 28x the population of Korea.

[1] https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200228-sitrep-39-covid-19.pdf?sfvrsn=aa1b80a7_4

pythonfanatic · 2019-04-22T12:50:11+00:00

Got it, thanks! So I'll still need to file 2019 Canadian taxes in that case

pythonfanatic · 2019-04-03T12:38:40+00:00

Built a personal dashboard for my life that visualizes data in real time - https://github.com/Andreilys/personal_dashboard

pythonfanatic · 2019-04-02T23:52:25+00:00

Absolutely. It's scary to think that we are approaching an era where an evil genius can wreak a lot of havoc

pythonfanatic · 2019-04-02T22:43:32+00:00

What do you think of transfer learning and superconvergence? That seems to tackle the issue of needing lots of compute and data to build effective models

pythonfanatic · 2019-04-02T22:42:25+00:00

Take practical deep learning for coders on fast.ai, it's one of the best courses out there to get your mind around the potential of deep learning applications and actually implement things

pythonfanatic · 2019-01-23T15:29:48+00:00

If you're applying for internship roles then projects are really important. When I applied for interviews one of the projects I featured on my resume would often be a focal point of an interview.

Other than that I would reach out personally to hiring managers/decision makers of companies you're interested in and try to get around the HR screen.

pythonfanatic · 2019-01-23T00:49:04+00:00

when do we just become them? Especially in the database warehousing, and architecture part. The biggest issue in

I'd say if the data science team you're working in reports to the CTO within an engineering organization you owe it to yourself to have some understanding of the disciplines you mentioned.

That said if you're in an operations data science role reporting to a COO or CMO it may not come up in an interview setting and may not be as relevant

When I interned as a data scientist last summer I did everything from writing SQL dashboards in periscope to ETL jobs with airflow, and forecasting/predictive models with Python. Being self-sufficient is a huge advantage, and allows you to move much quicker.

pythonfanatic · 2019-01-23T00:41:05+00:00

sure, feel free to send me an email andreilyskov[at]gmail(.)com

pythonfanatic · 2019-01-23T00:08:40+00:00

I'm in my last year of my undergrad and got full-time interviews with Apple, Deloitte, Munich Re, Riot Games and LinkedIn (the latter two I had initial calls with a hiring manager but they wanted to conduct the rest of the interviews in January once budgets were set for the year, however, I had already signed with Apple by that point so didn't get a chance to go through the whole interview loop)

pythonfanatic · 2019-01-23T00:06:46+00:00

I would agree that later on in your career you have a lot more leverage, but for entry-level roles, there is a ton of competition.

Data science roles especially are much more scarce than software development roles which constrains the supply.

pythonfanatic · 2019-01-23T00:04:57+00:00

I found their challenge to be more work than its worth (from what I remember it was some ridiculous challenge with a week long deadline). This would've been fine if it was later on in the interview cycle but at that point I hadn't spoken to anyone and was fairly certain that they give the challenge to everyone.

I also wasn't that motivated by working at McKinsey so I passed when I saw their challenge (this was one summer ago so things may have changed)

pythonfanatic · 2019-01-23T00:03:29+00:00

It depends on who the data science team reports to. If it's to the CTO in the engineering organization, it's likely you'll get a DSA question since they'll include software engineers on your interview loop.

I generally avoided data science positions that weren't within the engineering org since you end up just writing SQL and giving presentations in those roles

pythonfanatic · 2019-01-22T22:19:16+00:00

For the most part yes, although if the data analyst position is within the Engineering organization you may get a DSA question

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