Selvine Ondego, PhD Epidemiology.

As an expert in Epidemiology and Diseases Control, Biostatistics,Data Scientist, AI and Machine Learning and Research.I specialize in leveraging advanced research methodologies to understand public health trends and medical outcomes. My work involves applying statistical techniques to large datasets, conducting health and medical research, and utilizing AI and machine learning models to uncover insights that drive evidence-based decision-making and innovative healthcare solutions. With a strong background in disease control, I also focus on designing and implementing strategies for preventing and managing infectious diseases, monitoring outbreaks, and advising on public health interventions. My comprehensive skill set allows me to integrate data-driven approaches with real-world disease control measures, ensuring better health outcomes on both individual and population levels. In addition to my expertise in disease control, I have contributed to a variety of impactful research projects, including studies on cancer, obesity, and HIV/AIDS. I have worked on cancer research projects exploring risk factors, early detection methods, and treatment outcomes, as well as obesity research aimed at understanding its impact on chronic diseases and identifying effective prevention strategies. In the area of HIV/AIDS, I have been involved in research focused on improving treatment regimens, understanding transmission patterns, and developing public health strategies to reduce the burden of the disease. I possess advanced competency in working with SAS programming, utilizing it to manage and analyze complex datasets, conduct statistical modeling, and generate reports that inform research findings. Additionally, I am proficient in designing and developing research databases, ensuring data integrity, accessibility, and security throughout the lifecycle of a project. My skills extend to Python and R, where I apply these programming languages to develop custom analysis scripts, build predictive models, and visualize data insights. These technical capabilities allow me to integrate data-driven approaches with real-world disease control measures, ensuring better health outcomes on both individual and population levels.