The project aims to design and develop a personalized health database for Mayk Ideas, focusing on structuring health data using Microsoft Dataverse. The goal is to integrate treatment plans and diagnostic tests into a cohesive system that supports personalized medicine. Additionally, the project involves building a genetics module and creating an interactive Power BI dashboard to visualize health data effectively. This project provides learners with the opportunity to apply their classroom knowledge in health analytics, data science, and biomedical informatics to a real-world scenario. By working on this project, learners will gain hands-on experience in health data management, analytics, and visualization, bridging the gap between healthcare and technology.

Key Responsibilities:

• Database Development: Design and implement a structured health data repository in Microsoft Dataverse to store patient profiles, test results, treatment plans, and genetic data.
• Data Integration: Work with various health data sources (e.g., lab tests, genetic reports, treatment records) to create a centralized system.
• Power BI Reporting: Develop interactive dashboards in Power BI for real-time data visualization and insights into treatment effectiveness.
• Genetics Module: Assist in structuring genetic test data within the database, ensuring it aligns with best practices in personalized medicine.
• Automation & Process Improvement: Leverage Power Automate to streamline data entry, report generation, and workflow automation.
• Data Security & Compliance: Ensure the database follows privacy regulations and data security best practices for handling health information.

Qualifications & Skills:

• Education: Currently enrolled in or recently graduated from a program in Health Informatics, Biomedical Science, Health Analytics, Data Science, or a related field.
• Technical Skills: Familiarity with Microsoft Dataverse, Power BI, Power Automate, and data modeling.
• Health Data Knowledge: Understanding of health records, diagnostic tests, treatment pathways, and genetics is an asset.
• Analytical & Problem-Solving Skills: Ability to analyze data and develop meaningful insights for personalized health.
• Attention to Detail: Strong ability to work with structured and unstructured health data.
• Collaboration: Comfortable working in a team-oriented environment while taking initiative in key development tasks.