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How to become a Data Scientist? My journey, overview of skill set, practice tips
Data science can be rewarding beyond a big paycheck. Large firms pay well, but smaller ones may not. If you love research and discovery, it is worth it.
After completing my Master's degree, I decided to pursue a PhD, where I applied machine learning in various scientific disciplines, such as building phylogenetic trees for influenza RNA, understanding children's dyslexia, and advancing high-energy physics. During studies, I also traveled to leading physics laboratories, such as INFN in Gran Sasso (picture below), CERN, JPARC and Fermilab, working closely with Robert and Dorota. Imagine spending two weeks building a new ML model, only to have your manager inform you that your team has just gained access to a new data source and you need to redo the entire process.
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