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mpaal

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mpaal
·3 years ago·discuss
Yes indeed a job of a CEO is not an easy peasy one if you are not into politics and power games but IMHO it’s a small price to pay if you are compensated like that and after such a stint you won’t need to work ever again.

The fact that most of the CEOs are still working after receiving such a compensation package shows their different mindset which is probably essential to becoming a CEO in the first place… personally I’d gladly take 1/100th of that and never have to worry about money ever again. Doesn’t mean I would stop working. I’d just stop working for money trying to hack my way into early retirement which probably won’t come anyways.
mpaal
·3 years ago·discuss
I have a similar sentiment towards ‘what would I be doing if I had this much money on the side’ aka totally risk free life (from the financial perspective) as you do. There is just so much stuff to explore and tinker around and yet most of the millionaires shown in the tv don’t do any of that, instead pursue more money or status. What a waste of time.

At the current pace of savings and earnings I won’t be able to retire in the next 25years, whilst mentally I am already ready to retire to do all the things you listed and more. Sometimes I wonder if it wouldn’t be better to just go for it and start living the life as if I had all the millions laying around and making the most out of my relatively healthy body. But I’m afraid it would be quite stressful to burn through savings and be forced to go back to a corporate job all over again…
mpaal
·4 years ago·discuss
A common story about the piece is that Rachmaninoff took inspiration from a dream he had. The dream was set in a funeral (hence the bell-like tolling at the beginning of the piece). As the dream progresses, Rachmaninoff walks toward the central coffin, and the piece builds suspense as Rachmaninoff continues to get closer. When he finally gets there, he opens the coffin only to find himself inside, coinciding with the beginning of the climax of the piece (marked "agitato" on the score). Whether or not this story is true, or painted on to the piece at a later date, the story seems to match the progression of the piece.

(copy pasted from Wikipedia but very interesting nonetheless)
mpaal
·4 years ago·discuss


  Location: Lausanne, Switzerland
  Remote: Yes or Hybrid
  Willing to relocate: Yes
  Technologies: Data Science in Python (typical stack), Data Engineering & MLOps on cloud (AWS, GCP, Azure, Foundry), Git
  Résumé/CV: https://www.linkedin.com/in/mattpa
  Email: via Linkedin
+4.5 years of professional experience as a data scientist & machine learning engineer. Aspiring solutions architect with a big picture perspective, capable of translating high level business requirements into concrete technical solutions. Compassionate leader & mentor, striving to build long lasting relationships and hyper-effective teams. Generalist, equally comfortable with deep diving into a research paper, as well as tackling engineering and infrastructure challenges. Eager learner and a team player.
mpaal
·4 years ago·discuss


  Location: Lausanne, Switzerland
  Remote: Yes or Hybrid
  Willing to relocate: Yes
  Technologies: Data Science in Python (typical stack), Data Engineering & MLOps on cloud (AWS, GCP, Azure, Foundry), Git
  Résumé/CV: https://www.linkedin.com/in/mattpa
  Email: via Linkedin
+4.5 years of professional experience as a data scientist & machine learning engineer. Aspiring solutions architect with a big picture perspective, capable of translating high level business requirements into concrete technical solutions. Compassionate leader & mentor, striving to build long lasting relationships and hyper-effective teams. Generalist, equally comfortable with deep diving into a research paper, as well as tackling engineering and infrastructure challenges. Eager learner and a team player.
mpaal
·4 years ago·discuss


  Location: Lausanne, Switzerland
  Remote: Yes or Hybrid
  Willing to relocate: Yes
  Technologies: Data Science in Python (typical stack), Data Engineering & MLOps on cloud (AWS, GCP, Azure, Foundry), Git
  Résumé/CV: https://www.linkedin.com/in/mattpa
  Email: via Linkedin
+4.5 years of professional experience as a data scientist & machine learning engineer. Aspiring solutions architect with a big picture perspective, capable of translating high level business requirements into concrete technical solutions. Compassionate leader & mentor, striving to build long lasting relationships and hyper-effective teams. Generalist, equally comfortable with deep diving into a research paper, as well as tackling engineering and infrastructure challenges. Eager learner and a team player.
mpaal
·4 years ago·discuss
Cool concept!
mpaal
·4 years ago·discuss


  Location: Lausanne, Switzerland
  Remote: Yes or Hybrid
  Willing to relocate: Yes
  Technologies: Data Science in Python (typical stack), Data Engineering & MLOps on cloud (AWS, GCP, Azure, Foundry), Git
  Résumé/CV: https://www.linkedin.com/in/mattpa
  Email: via Linkedin
+4.5 years of professional experience as a data scientist & machine learning engineer. Aspiring solutions architect with a big picture perspective, capable of translating high level business requirements into concrete technical solutions. Compassionate leader & mentor, striving to build long lasting relationships and hyper-effective teams. Generalist, equally comfortable with deep diving into a research paper, as well as tackling engineering and infrastructure challenges. Eager learner and a team player.
mpaal
·4 years ago·discuss


  Location: Lausanne, Switzerland
  Remote: Yes or Hybrid
  Willing to relocate: Yes
  Technologies: Data Science in Python (typical stack), Data Engineering & MLOps on cloud (AWS, GCP, Azure, Foundry), Git
  Résumé/CV: https://www.linkedin.com/in/mattpa
  Email: via Linkedin

+4.5 years of professional experience as a data scientist & machine learning engineer. Aspiring solutions architect with a big picture perspective, capable of translating high level business requirements into concrete technical solutions. Compassionate leader & mentor, striving to build long lasting relationships and hyper-effective teams. Generalist, equally comfortable with deep diving into a research paper, as well as tackling engineering and infrastructure challenges. Eager learner and a team player.