I use data science and artificial intelligence to drive insights in public health and beyond. My expertise lies in utilizing tools such as Python, R and SQL for machine learning, statistical analysis, and data visualization. I focus on applying AI techniques to solve complex problems, optimize decision-making and create scalable solutions in various sectors.With experience in handling large, complex datasets, I have developed predictive models that support resource allocation and decision-making. My work at UCLA Fielding School of Public Health has honed my ability to integrate advanced AI and data science methodologies to solve real-world challenges.In addition to public health data, I also have a strong background in web development, database management, and cloud-based analytics, with skills developed through a combination of hands-on projects and academic training.Skills• Proficient in Python, R, SQL, and Tableau for data analysis, visualization and machine learning• Experienced in building and applying AI models for predictive analytics• Strong knowledge of database management and cloud platforms• Proficient in technical communication and cross-functional collaboration• Bilingual in English and Spanish, with experience working in multicultural teamsHobbies and InterestsOutside of work, I enjoy swimming, gardening and working out. I have participated in two Spartan Races! Also, I have been volunteering with the American Red Cross for many years, my favorite memory is helping at the Rose Parade in 2018 in the busiest station as a First Aid Responder!