When you are a self-taught Data Scientist is always hard to assess your progress.
You must set some metrics and start monitoring them.
In my case I decided to follow the 10.000 hours rule and track them with a Time Tracker.
I used the Pomodoro Technique App.
In the past week, I wanted to know where I was going and How fast.
Not only, at the beginning of December, I had a phone interview with Amazon.
Sadly, I didn’t get access to the next step, I already had a “No” from them at the beginning of July.
Obviously for me was not nice to be rejected, but it’s life.
It’s just a Time Stamp in a Time Series that we will call life
Based on that I decided to plot my progress and see how I was growing also compared to the rejection.
Furthermore, I wanted:
- To forecast 2021 growth, just to beat the forecast I made
- To automatize the monitoring process
All the plots that you will see here are realized with the open-source python library matplotlib.
The code at the moment is messy and ugly.
Cleaning it is really time-consuming and I have some small projects to close as soon as possible.
To draw this plots I used matplotlib in a Colab Script.
This way I can automatically update the plots every time I load fresh data from the Time Tracker.
Moreover I am not a huge Tableau supporter maybe in the following months I will try Kibana.