Artificial Intelligence (AI) plays a pivotal role in enhancing the capabilities of Data Science, contributing to more advanced and efficient data analysis. AI techniques, such as machine learning algorithms, are integrated into Data Science practices to automate complex tasks, recognize patterns, and generate valuable insights from vast datasets. The synergy between AI and Data Science empowers professionals to extract meaningful information, make predictions, and optimize decision-making processes. Genetic Artificial Intelligence (GenAI) introduces a unique dimension to Data Science by drawing inspiration from the principles of genetics and evolution. In the context of Data Science, GenAI involves the creation of algorithms that evolve and adapt over time, mimicking the process of natural selection. This innovative approach can lead to the development of more adaptive and robust models in Data Science, allowing systems to self-optimize and improve their performance based on the success of previous iterations.