mpaal

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.

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…

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)

  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.

  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.

  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.

Cool concept!

  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.

  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.

What is the sentiment about this vote within you and your group of friends/family? As I pass by Swiss countryside I see a lot of farmers claiming they will vote 2xNO as it presumably kills their business but I have a hard time believing that. Is there a swiss website where I can see current general sentiment regarding this initiatives?

No worries! Yeah I feel the same way. Honestly I was mostly aiming for time not distance, with 4-5h on the bike, because for me it became really painful to go any longer. But that’s super personal and everyone has their own pace. For me it worked, because I could take a 1-2h lunch break, have a dip in a lake or just a chat with the locals. People are super friendly and open no matter if you are in the middle of nowhere States or Peru. Going solo also helped in that matter - I was craving social interactions as you get bored of just your own thoughts. ;) Having other fellow tourers with you is fun but changes the dynamics of the trip and you become less insightful and conscious of the surroundings and you have less interactions with the locals, which I find to be extremely valuable.

In just the very first 30days I went from LA to Seattle through Sierras and Cascades (>3000km & 35000m of elevation) but in total I think it was ~14000km and ~150000m of elevation gain. that’s including taking a 2 months rest for US and Canadian Thanksgiving. Can’t remember the exact general statistics but I believe that whenever I had an active day on my bike I did like 105km and 1200m on average.

In 2019 I went on a solo Biketouring trip spanning across Canada, USA, Peru, NZ and Taiwan lasting 10 months. While obviously the means of transportation was draining both physically and mentally it was amazing to be truly immersed in region I was currently visiting.

In general it was great but if I were to do it again I would go way easier and slower on my bike instead of trying to race it plus I would have shortened the trip to last at most 4 months - after 10th National Park or so I stopped appreciating the location as much because I was comparing it to some other that I saw just a couple of weeks before that and the wow factor was no longer there. Seeing too much on the short span of time is a curse of such a trip imho.

All in all it was great and I’d do it again but slightly differently and definitely not as long.

P.S. (Finding job in covid after the tour was really hard despite my data science/ml engineering profile.)

Location: Lausanne, Switzerland

Remote: yes

Willing to relocate: yes (within Switzerland)

Technologies: Python for Data Science & ML (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, Keras), Flask, APIs, GCP, AWS (EC2, S3, Athena, Lambda, EMR), Git, Bash, JavaScript, MongoDB, ElasticSearch, Apache Airflow

Resume: https://www.linkedin.com/in/mattpa/

email: paluchowski.matthew at gmail dot com

——

Versatile professional being both a data scientist & data engineer with 3+ years of experience. Skilled in working with omni-present data sources, creating automated pipelines and translating modeled insights into actions. Equally comfortable with deep diving into a research paper, as well as tackling an engineering and infrastructure challenges. Eager learner and a team player.

In 2019 I went on a solo biketour and it involved a lot of nigths in a tent. While campgrounds were rather cosy as just the knowledge that others are there brought me comfort, some wildcamping spots were much more unsettling. For me it was a fear of the wilderness and just hearing some noises in the middle of the night was... tense. Such nights were usually on high alert and quite restless.

10/10 will do it again ;)

Location: Warsaw, Poland

Remote: yes

Willing to relocate: yes

Technologies: Python for Data Science & ML (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, Keras), Flask, APIs, GCP, AWS (EC2, S3, Athena, Lambda, EMR), Git, Bash, JavaScript, MongoDB, ElasticSearch, Apache Airflow

Resume: https://www.linkedin.com/in/mattpa/

email: paluchowski.matthew at gmail dot com

Versatile professional being both a data scientist & data engineer with 3+ years of experience. Skilled in working with omni-present data sources, creating automated pipelines and translating modeled insights into actions. Equally comfortable with deep diving into a research paper, as well as tackling an engineering and infrastructure challenges. Eager learner and a team player.