About Matthew Przybyla

Matt Przybyla (Medium) is a Senior Data Scientist at Favor Delivery based in Texas. He has a Master's degree in Data Science from Southern Methodist University. He enjoys writing about trending topics and tutorials in the data science space, ranging from new algorithms to advice on everyday work experiences for data scientists. Matt likes to highlight the business side of data science as opposed to only the technical side. Feel free to reach out to Matt on his LinkedIn.

Matthew Przybyla Posts (7)

• 5 Things to Keep in Mind Before Selecting Your Next Data Science Job - 12 Jan 2022
  
  These are some of the most critical questions that I think are important to consider when selecting the next job.
• Salary Breakdown of the Top Data Science Jobs - 02 Nov 2021
  
  Machine Learning vs NLP vs Data Engineer vs Data Scientist, and what it means to be in each role.
• Data Scientist vs Data Engineer Salary - 20 Oct 2021
  
  What are the differences between these two popular tech roles?
• How to Query Your Pandas Dataframe - 09 Aug 2021
  
  A Data Scientist’s perspective on SQL-like Python functions.
• Pandas vs SQL: When Data Scientists Should Use Each Tool - 21 Jun 2021
  
  Exploring data sets and understanding its structure, content, and relationships is a routine and core process for any Data Scientist. Multiple tools exist for performing such analysis, and we take a deep dive into the benefits and different approaches of two important tools, SQL and Pandas.
• Data Scientist vs Machine Learning Engineer – what are their skills? - 27 Apr 2021
  
  As two very popular tech roles for 2021, the Data Scientist and Machine Learning Engineer can overlap or be entirely distinct, depending on the organization you work for. However, general differences between these positions require certain skill sets that you must be prepared for when applying for jobs.
• 5 Concepts Every Data Scientist Should Know - 02 Oct 2020
  
  Once a Data Scientist, there are certain skills you will apply each and every day of your career. Some of these might be common techniques you learned during your education, while others may develop fully only after you become more established in your organization. Continuing to hone these skills will provide you with valuable professional benefits.