For over 6+ years, I have worked with too many people in my Data Science career. %99 of them is an average, however %1 of them were making a difference.
In this article, I will share you my experience about those people, and give you the tips that I observed , which might be helping to you to become one of them. And yes, this article of course includes ChatGPT knowledge.
Let’s get started.
1. Problem-Solving Attitude
Photo by Olav Ahrens Røtne on Unsplash
The top 1% professionals I’ve worked with share this common attitude, they approach challenges with a mindset, geared towards finding solutions efficiently. They divide the problem into smaller pieces, and solve it, as basic as they can.
Example: Data Cleaning Challenge
- Average Approach: An average Data Scientist might begin manually identifying and correcting errors, spending days or even weeks on the task.
- 1% Approach: A professional with a problem-solving attitude would, instead, evaluate different automated cleaning tools. Because that would be the first thing to do for making the process basically and accurately. And they they will select the most suitable one, and finish the task in a matter of hours.
The difference here is not just in the speed but also in the ability to tackle more complex challenges, dividing them into smaller peaces and solving them with basic methods.
By thinking critically and choosing the right tools, especially in this era of AI tools, you will boost your skills, and they would think you are a team instead of a one person.