Ashiat Adeogun

• Conduct research on health informatics, AI in health, and health data analytics under a supervisor.

• Worked with Big Data in Healthcare: Acquisition, Management, and Visualization Using System Dynamics.

• Updates and uses relevant knowledge to implement health education interventions and programs for the community.

• Worked with Vensim and Python programming to build a patient-centric paradigm: A system thinking approach to enhance healthcare outcomes.

• Assist in data collection from research and academic resources for reports.

• (W)Provides support to research activities (H) by developing information systems and configuring IT systems (O) to support the unit’s activities under faculty member supervision.

• Accomplished the project Advancing Child and Maternal Health: A System Dynamics Exploration of Policy Interventions to Tackle Socioeconomic Disparities

• Leverage a profound understanding of underlying data and structures to identify key business insights by identifying seasonal sales patterns by product category and region.

• Translate complex data concepts into clear visualizations that facilitate decision-making for stakeholders. Create geographic maps showing sales by region during different seasons.

• (W) Designed and maintained robust data warehouses and databases (H) through database maintenance and risk assessment, (O) ensuring efficient storage & retrieval of business-critical information

• Optimize database performance to support real-time analytics and reporting needs.

• Utilize tools such as Power BI, Tableau, Python, Excel, SSRS, and SQL to extract, retrieve, and transform data from diverse sources.

• Enable seamless integration of data from various platforms, providing a unified view for comprehensive analysis.

• Implement rigorous data cleaning processes to enhance data quality and reliability.

• Develop sophisticated data models that uncover patterns and trends, enabling a deeper understanding of business dynamics.

• Apply statistical analysis techniques to interpret data trends, providing actionable insights for strategic decision-making.

• Empower the organization with data-driven decision-making, enabling a competitive edge in the market.

• Drive efficiency and cost-effectiveness through informed business strategies derived from comprehensive data analysis.

• Executed effective data collection strategies, ensuring relevance and accuracy in gathered information
• Proficiently managed and manipulated data using SQL and Excel
• Demonstrated strong visualization literacy, selecting appropriate representations for business needs
• Maintained up-to-date knowledge of industry trends and advancements in data analytics, enhancing the adaptability of solutions provided.
• Enhanced business efficiency by identifying trends and patterns in complex datasets.
• Developed custom algorithms to optimize data mining, increasing the effectiveness of analytical insights.
• Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities.
• Produced monthly reports using advanced Excel spreadsheet functions.
• Generated comprehensive scorecards and reports for strategic decision-making.
• Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.