As Global Senior Data Scientist at MetLife, I lead data science projects across multiple business areas. Working in projects such as customer engagement, cross-selling, customer segmentation, fraud detection, cybersecurity vulnerability analysis, text classification and text analysis. Using data science techniques, and cloud platforms such as Azure and GCP, to analyze data and generate insights that support decision-making and drive data-driven solutions.In addition to my technical expertise, I maintain direct communication with business stakeholders to understand their requirements and share insights with them effectively.I have a Master's degree in Data Mining & Knowledge Discovery from Universidad de Buenos Aires, where I learned advanced techniques and methods for extracting, processing, and evaluating data. I also have multiple certifications in Database Administration, and Machine Learning. I am a responsible, proactive, and self-taught person, who is always willing to learn and improve my skills. My goal is to leverage data science to create value and impact for MetLife and its customers.