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My TEN YEAR OLD twin girls came to me with a TIMESHEET and PIE CHARTS to explain to me why "Our household would benefiter (sic) a Nintendo Switch".
They... actually did what for an intern would be a passable data storytelling job (orthographic errors aside).
They explained how they would share the videogame between themselves (because it is not allowed at their school, not that we would let them bring it there anyway) in a colorful timesheet spanning four days a week.
They even put a pie chart showing how most of the time nobody will be using it.
I feel at the same time immensely proud, scared, and a wee bit freaked out that they came with all that to me but with their mother they just talked. Do I seem so distant that they feel they can't convince me without data? I gotta watch out for using work jargon at home.
Anyway, first "interns" that I have ever seen using a pie chart with the appropriate number of classes (even if highly biased).9 -
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.7 -
Welcome to post 2 of WHY WOULD I WANT TO WORK WITH YOU?, a saga of competence, empathy and me being dick, even tho I didn't want to be one.
This is a follow-up to: https://devrant.com/rants/2363374 It's title is: "Oh, you can post only every 2h. Didn't know that". I also didn't know that the rest of my rant would be put into a comment. For consistency tho, this time I am still splitting the story.
A wise person once wrote in their book: "People judge other people by two things: Empathy and competence." This may not be an accurate quote, but it carries the same message. Also, I don't really remember who was the author. I only know they were probably quite wise. Anyway, I just wanted to share that sentence. Have a moment and think about it. Or don't. Here's my story:
A was a software house that looked pretty promising. They were elegant, their page and offer looked nice. Well, unless you consider the fact that they offered me internship. Unpaid. But I decided to meet with them anyway, since I had hope that I could negotiate some sort of paid internship or a job contract even. I did my homework after all, and I was confident I am able to keep up with their requirements. I arrived a little bit... no, way to early. One damn hour. Whatever, I waited. I was greeted by a woman. We had a cultural conversation, she had a list of 12 questions I needed to answer, as a form of a test. We begun. First question: How do you change a value in Oracle Database? "Wait a minute", I thought, "What kind of question is that?". Why in seven hells would you want your frontend developer to know how to handle oracle db? Well, I gave my answer, I did lick some of that SQL in my life. Next question: Java stuff. The bloody gal didn't even care to check what position I am applying to before the interview! At this point I didn't really have very high hopes. A shame on them forever.
The story of B and C is connected and a little bit more complicated. More on that in part 2. B stands for Bank. A big corporation then, by definition. A person I know decided called me that day and told me they're hiring, that he referred me and that they would like to arrange a meeting. And so we did. It was couple of days before Christmas. C was a software house again. Or a startup. Idk really. Their website wasn't finished so I couldn't read anything useful up on them. They didn't tell me much about themselves either. They also started with "unpaid internship".
In C, they would greet me and instantly sit me down next to a mac laptop and told me, "hey, do this stuff in python". What the fuck, not again... I told them that I am frontend dev, they guy said "it's no problem, you said you know python, it's a simple task". And yeah, I did host some apps in Flask and I did use psycopg2. It was in my CV. But never, ever, have I mentioned knowing heuristics nor statistics. I'm no data scientist, monsieur. Whatever, I tried, I failed a little bit, I told them that maybe if I did want to spend half of my day there I would finish this task, but back then I was way too nervous to focus and code. I told them what should be done in code and that I just was unable to code this at the very moment. They nodded, we said goodbye and I was sure not to hear from them ever again.
In B, I was greeted by a senior frontend dev. He told me the recruiter is sick and he couldn't come, so we're talking alone. I can buy it. We sat down in said meeting room, and he asked me if I wanted a drink. No thx, I had digested so much caffeine during last 24h, next dose could be an overdose. And then, he took out my resume printed in paper. With notes on it. With some stuff encircled. That bloody bastard did his homework. We spent over an hour, just talking in friendly atmosphere. It was an interview, but it was a conversation also. We shared our experiences, opinions and it went just perfect.
On December 20, I was heading home for Christmas. My situation looked like this: A called me they could offer me only unpaid internship. I was getting kinda bored of rice and debts, tbh. I gracefully rejected their generous offer. B didn't give me feedback yet(it was a most recent interview, so I didn't expect any message until after Christmas anyway). C told me that they could give me internship, but I managed to convince them to make it paid internship. After three months of very bad times, things were starting to get better.
On part III we will explore further events of my very recent past. That post will be same amount of storytelling and possibly a lesson for those who seek an employer and for those who seek an employee.6
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