Hello, I'm Samuel Kanneman, I currently work as an analyst and data scientist at Musimundo and Crédito Argentino, within the Credit Risk area. My main responsibility is to analyze patterns, outliers and trends in personal loans. Evaluate and monitor the Scores obtained through ML algorithms used for credit assignment.I work on my daily tasks with Python in VS Code, SQL in Aqua Data Studio, I also use Excel for tasks and quick queries.With my work, I seek to improve credit allocation, reducing the risk of default and increasing the company's profitability. My future goal is to participate in the improvement or development of a new scoring model based on the needs identified by management.I have experience as an independent data consultant, knowledge of data analysis and visualization. I use Power BI to create interactive reports and dashboards that help companies make more informed decisions. I am passionate about mathematics and statistics, I have training in data science and machine learning with Python. I am interested in continuing to learn and develop my skills in this field.