Sit down before you read this.

So I interviewed a guy for a "Support Engineer" internship position.

Me and the team lead sit down and are waiting for him to enter, but apparently he's actually making a coffee in the kitchen.

This isn't exactly a strike since the receptionist told him that he can go get a drink, and we did too. It's just always expected for him to get a glass of water, not waste 3 minutes brewing a coffee.

In any case he comes in, puts the coffee on the table, then his phone, then his wallet, then his keys and then sits on our side of the table.
I ask him to sit in front of us so we can see him. He takes a minute to pack and tranfer himself to the other side of the table. He again places all of the objects on the table.

We begin, team lead tells him about the company. Then I ask him whether he got any questions regarding the job, the team or the company . For the next 15 minutes he bombards us with mostly irrelevant and sometimes inappropriate questions, like:
0: Can I choose my own nickname when getting an email address?
1: Does the entire department get same salaries?
2: Are there yoga classes on Sundays only or every morning?
3: Will I get a car?
4: Does the firm support workspace equality? How many chicks are in the team?
5: I want the newest grey Mac.

And then.. Then the questions turn into demands:
6: I need a high salary (asks for 2.5 more than the job pays. Which is still a lot).
I ask him why would he get that at his first job in the industry (remind you, this is an internship and we are a relatively high paying company).
He says he's getting paid more at his current job.
His CV lists no current job and only indicates that he just finished studying.
He says that he's working at his parent's business...
Next he says that he is very talented and has to be promoted very quickly and that we need to teach him a lot and finance his courses.

At this point me and the team lead were barely holding our laughs.

The team lead asks him about his English (English is not our native language).
He replies "It's good, trust me".
Team lead invites him for an English conversation. Team lead acts like a customer with a broken internet and the guy is there to troubleshoot. (btw that's not job related, just a simple scenario)
TL: "Hello, my name is Andrew, I'm calli..."
Guy: *interrupts* "Yes, yes, hi! Hi! What do you want?"
TL: "Well, if you let me fi..."
Guy: "Ok! Talk!"
TL: "...inish... My internet is not working."
Guy: "Ok, *mimics tuning a V engine or cooking a soup* I fixed! *points at TL* now you say 'yes you fixed'".

Important to note that his English was horrible. Disregarding the accent he just genuinely does not know the language well.

Then he continiues with "See? Good English. Told you no need to check!".

After about half a minute of choking on out silent laughter I ask him how much Python experience he has (job lists a requirement of at least 1 year).
He replies "I'm very good at object oriented functional programming".
I ask again "But what is your experience? Did you ever take any courses? Do you have a git repository to show? Any side.."
*he interrupts again* "I only use Matlab!".

Team lead stands up and proceeds to shake his hand while saying "we will get back to you".

At last the guy says with a stupid smile on his face "You better hire me! Call me back tomorrow." Leaves TL hanging and walks away after packing his stuff into the pockets.

I was so shocked that I wasn't even angry.
We both laughed for the rest of the day though. It was probably the weirdest interview I took part at.

I recently tried to apply the same data analytics rationale that I use at work to my personal life. This is not a rant, it is more like an data storytelling of an actual use case I would like some input on.

I set a goal - gotta thin up a bit and calm down my ticker - and got a (almost unreasonably expensive) field expert consultant to yell at me about it for a couple hours.

I unravel the metrics - there is like a million weight-related KPIs and most say nothing at all. I have never seen an non-infrastructure measurable subject that could not be resumed to 2-5 performance metrics. I got overall weight, how well my nine-years-old business suit fits me, heart rate, and day-after relative muscle pain (it will make sense soon).

Then its data-pipeline time. I bought a cheap weight scale and smartwatch, and every morning I input the data in an app. Yes, I try to put on the suit every morning. It still does not fit.

After establishing a baseline, I tried to fit different approaches. Doing equipment-free exercises, going to the gym, dieting. None was actually feasible in the long run, but trying different approaches does highlight the impacts and the handling profile of each method.

Looking at the now-gathered data, one thing was obvious - can't do dieting because it is not doable to have a shopping list and meals for me and another for the family.
Gym is also off the table - too much overhead. I spend more time on the trip there and back than actually there.
And home exercise equipment is either super crappy or very expensive. But it is also the most reasonable approach.

So it is solutions time. I got a nice exercise bycicle (not a peloton), an yoga mat (the wife already had that one) and an exercise program that uses only those two resources. Not as efficient without dieting, not as measurable and broad as the gym, but it fits my workflow. Deploy to production!

A few months pass and the dataset grows. The signal is subtle but has support - it works! The handling, however, needs improvement, since I cannot often enough get with the exercise program. Some mornings are just after some hard days.

I start thinking about what else I can improve in the program, but it is already pretty lean and full of compromises.
So I pull an engineer and start thinking about the support systems and draft profile. What else could be draining my willpower and morning time?

Chores. Getting the kids ready for school, firing up the moka pot, setting the off-brand roomba, folding the overnight-dried clothes, cooking breakfast, doing the dishes, cleaning the toilets. All part of my morning routine. It might benefit from some automation.

Last month I got that machine our elders call "wasteful" and "useless crap lazy entitled Americans invented because they feel oh-so-insulted for simply doing something by hand like everyone always did" - a "dish-washer".
Heh, I remember how hard was to convince my mother-in-law that an remote-controled electric garage door would not make she look like an spoiled brat.
Still to early to call, but I think that the dishwasher just saved me about 25 mins every morning. It might be enough to save willpower for me to do more exercise.

This is all so reflective of all data analytics cases really are out in the wild - the analytics phase seems so small compared to the gathering and practical problem-solving all around. And yet d.a. is what tells you that you are doing the wrong thing all along. Or on what you should work next.

I got a new babe today, Lenovo Yoga 550, i7, 256 SSD...hw do u advice I utilize.. should i partition and have windows OS and my sweet Ubuntu & Arch linux(s) on d base or just vm them on windows..cuz honestly if not for few wares, i hv no business with windows..pls advice.