I am a statistician with experience in the role of data science, performing descriptive, inferential, predictive, and cognitive statistical analysis of analytical projects for various sectors, relying on the programming languages Python, and R for data analysis, data mining platforms such as Knime and visualization tools such as PowerBI, Shiny, and Plotly. All this is under the framework of agile Scrum methodologies for the development of analytics project life cycles based on CRISP-DM. I am finishing a Machine Learning Scientist career track in Datacamp and at this moment I’m studying MLops and AWS cloud practitioner in Udemy.