Responsibilities include:

• Performing advanced analyses on data using advanced analytical techniques, such as predictive modeling, machine learning, time series analysis, simulation, and optimization
• Analyzing trends, predicting outcomes, or assessing relationships using machine learning and deep learning models
• Visualizing and reporting complex statistical models with PowerPoint, Excel, RMarkdown Power BI, and Tableau
• Model deployment via AWS and Azure

Responsibilities include:

• Teaching data science and analytics to students
• The development and implementation of a data science curriculum and the mentoring of students in the field
• Establishing project-based learning environments and detailed lesson plans.

Responsibilities include:

• Conduct statistical analyses on health-related datasets to identify patterns, trends, and correlations relevant to cancer diagnosis and awareness programs
• Collaborate with researchers and healthcare professionals to design studies, develop research methodologies, and interpret findings.
• Implement advanced statistical models and algorithms to analyze epidemiological data and assess the effectiveness of public health interventions.
• Contribute to grant proposals, research publications, and project evaluations to support fundraising efforts and program sustainability