As a recent graduate in Data Science and AI, it’s natural to wonder what skills companies expect from someone at your level. Building a chatbot integrated with a database for knowledge management and boosting is a great start, but it’s understandable to feel that it’s not enough to be competitive in the current market.
The question is, what skills, tools, or projects should you focus on to align with industry expectations? As a backend engineer with experience in building apps using Django, you have a solid foundation. But to take your skills to the next level, you might want to consider expanding your toolkit to include other programming languages, such as Python or R, and machine learning frameworks like TensorFlow or PyTorch.
Additionally, working on projects that demonstrate your ability to analyze and interpret complex data, as well as communicate insights effectively, can be a major plus. This could include building predictive models, creating data visualizations, or even writing articles or blog posts about your findings.
It’s also essential to stay up-to-date with the latest developments in the field, so make sure to follow industry leaders, attend conferences or webinars, and participate in online forums like this one.
By focusing on these areas, you can increase your chances of standing out in a competitive job market and landing your dream role.