With over 23 years of experience as a registered pharmacist and a Master in Public Health (MPH) specializing in epidemiology, I am a data-driven professional who leverages data science and artificial intelligence to improve pharmaceutical services and health outcomes. My mission is to apply my analytical skills and epidemiology knowledge to the field of pharmacy and public health and to contribute to the advancement of evidence-based practice and policy.As a pharmacist, I use various analytical tools and machine learning algorithms to extract insights from health data and optimize business processes, inventory management, and customer satisfaction. I obtained multiple certificates from prestigious platforms such as Coursera, edX, and World Quant University to solidify my expertise in these data analysis areas. I am proficient in the use of Epiinfo, STATA, SPSS, and Microsoft Excel, to manipulate and extract insightful information from raw data. I am also skilled in database management systems (DBMS) like SQL and MongoDB. In addition, I possess good leadership, communication, creative, and problem-solving skills, and I am always eager to learn new things and take on new challenges.