Welcome to my portfolio, where I showcase my projects, achievements, and passion for data!
This project is a Power BI case study developed for ClarityCare, a mental health advocacy organization focused on reducing suicide rates through data-driven insights. The dashboard leverages AI visuals and intermediate DAX functions to uncover the demographic, economic, and geographic patterns influencing global suicide statistics.
Using a dataset of over 6.7 million recorded suicides, the analysis reveals key risk factors including gender, age group, generation, and GDP per capita, empowering ClarityCare to strategically direct its mental health interventions.
- Boomers account for the highest number of suicides globally (33.89% of total), with rates significantly higher than other generations.
- Males are far more likely to die by suicide, with numbers exceeding females in every age category.
- Middle-aged adults (35–54 years) are the most affected demographic group.
- Suicide rates show clear correlations with GDP per capita, varying significantly across countries and economic brackets.
To empower ClarityCare with a powerful decision-support tool that provides clarity on:
- Who is most at risk?
- Where should resources be focused?
- How can interventions be tailored demographically and regionally?
- Power BI Desktop
- AI Visuals (Key Influencers, Smart Narratives)
- Intermediate DAX Calculations
- Data Modeling & Relationships
- Interactive Drill-down & Filtering
A video walkthrough of the dashboard is included in this repository:
📧 Email: [email protected]
💼 Linkedin Project Link
🌐 GitHub: github.com/OsarohEkhoragbon