Greetings! My name is DEEPAK DAS, a DATA ANALYST

I hold a Bachelor’s degree in Physics and developed a strong interest in data analytics while exploring Excel during my academic years. Although I initially aimed for a career in engineering, my transition into analytics has been intentional and driven by curiosity. Over time, I’ve developed skills in Excel, Power BI, SQL, and Python with a focus on uncovering insights through data analysis. I’m committed to continuous learning and impactful problem-solving. The Projects have strengthened my ability to work with structured data, uncover patterns, and communicate findings clearly

📊Projects:

🏥Healthcare Cost & Diagnosis Analysis Dashboard

The Project explores hospital data to uncover trends in diagnosis, medication use, insurance behaviour, and billing. It enables stakeholders to make data-driven decisions through dynamic, interactive insights across clinical and financial dimensions

Tools: Power BI, Excel

🔗 GitHub

Healthcare_dashboard.pbix

📁 docx

🧠 Alzheimer's Disease Risk Analysis

This project focuses on analyzing patient health data to understand and predict the progression of Alzheimer's disease. By examining key clinical indicators such as MMSE scores and brain imaging metrics, the analysis aimed to identify early signs of cognitive decline. The insights generated can support healthcare providers in making timely diagnoses and planning more effective interventions.

Tools: Excel, Power BI, SQL

🔗 GitHub

Alzheimer_dashboard.pbix

📁 Docx

🌎2015 World Happiness Index Analysis:

Uncovering how GDP, family support, freedom, and trust in government influence happiness across countries. By combining interactive dashboards with correlation analysis, the project reveals both regional disparities and nuanced drivers behind national well-being scores.

Tools: Excel, Power BI, SQL

🔗 GitHub

Happinessindex2015_analysis.pbix

📁 Docx

📋Tools & Technologies

• Microsoft Excel: for spreadsheet analysis and modeling
• Power BI – for interactive dashboards and reports
• Tableau – for data storytelling and exploration
• Google Workspace – for real-time collaborative analysis
• SQL(MySQL, PostgreSQL) – for querying structured databases
• Google BigQuery – for scalable cloud-based SQL analytics
• Domain Knowledge: Healthcare-focused analytics

🖋 Certification

• Google Data Analytics: Completed certificate covering data cleaning, analysis, and visualization using Excel, SQL, and Tableau with practical, real-world case studies.
• SQL Bootcamp: Gained hands-on experience with SQL for data extraction, manipulation, and analysis. Delved into complex queries, joins, subqueries, and window functions to build a strong analytical foundation.
• Microsoft POWER BI**:** Developed proficiency in creating interactive dashboards and data models using Power BI. Explored DAX, data transformation with Power Query, and real-world visualization techniques for business insights.