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.

Junior vs Senior Data Scientist Salary: What’s the Difference?

By Matthew Przybyla, KDnuggets on March 24, 2022 in Career Advice
Check out this US salary deep dive for 2022 career decisions, work, & interests.
How to Filter Data with Python

By Matthew Przybyla, KDnuggets on February 22, 2022 in Python
Let’s dive a little deeper into some simple operations that might make your everyday work a little easier.
3 Reasons Why Data Scientists Should Use LightGBM

By Matthew Przybyla, KDnuggets on January 24, 2022 in Machine Learning
There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.
5 Things to Keep in Mind Before Selecting Your Next Data Science Job

By Matthew Przybyla, KDnuggets on January 12, 2022 in Career Advice
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

By Matthew Przybyla, KDnuggets on November 2, 2021 in Career Advice, Data Engineer, Data Scientist, Machine Learning Engineer, NLP, Salary
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

By Matthew Przybyla, KDnuggets on October 20, 2021 in Career Advice, Data Engineer, Data Scientist, Salary
What are the differences between these two popular tech roles?
How to Query Your Pandas Dataframe

By Matthew Przybyla, KDnuggets on August 9, 2021 in Data Preprocessing, Data Processing, Pandas, Python, SQL
A Data Scientist’s perspective on SQL-like Python functions.
Pandas vs SQL: When Data Scientists Should Use Each Tool

By Matthew Przybyla, KDnuggets on June 21, 2021 in Data Scientist, Pandas, SQL
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?

By Matthew Przybyla, KDnuggets on April 27, 2021 in Data Science Skills, Data Scientist, Machine Learning Engineer, Skills
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

By Matthew Przybyla, KDnuggets on October 2, 2020 in Data Scientist, Metrics, Multicollinearity, Sampling, Storytelling
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.

Matthew Przybyla

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