Here's how you can propel your career as a data scientist with machine learning algorithms.

The first step; learn mathematical topics like calculus, discrete maths, linear algebra and statistics. This will form a perfect foundation for you to build on before learning a programming language.

Strengthen Your Foundations: Ensure a strong grasp of statistics, linear algebra, and programming languages like Python or R. Practical Experience: Engage in hands-on projects and real-world applications. Participate in Kaggle competitions and contribute to open-source projects. Continuous Learning: Stay updated with the latest trends and advancements. Enroll in online courses, attend webinars, and read research papers to keep your skills sharp

This is a very important step, and one of the most common mistakes every data scientist makes. When learning about machine learning algorithms, learn about the 'Why' along with the 'How'. Understand the strengths and weaknesses of each model, and know when and where to use particular algorithms according to the problem you face. In most cases, the simpler choice is the better choice, and there is no need to overcomplicate things when a simpler solution does what you are looking to do.

It's important to look for projects that use real data. Using artificial data to study techniques and concepts ca be useful at the beginning. However, it is with real-world data that true challenges will arise. There are many free data sources that can be used to design projects. But it's also a good idea to look for sites or services that provide APIs or where you can do web scrapping to build a database, since data gathering is another relevant skill in the market. When the project is finished, seek feedback. If you're in an academic environment, look for a teacher or a tutor. If you're learning on your own, look for mentors in social networks who already have market experience.

With the speed we have seen far.. trying out new LLMs and their evaluation and if possible create small app around them would be best strategy to show you are keeping tap of industry trend to your prospects.