I’m a passionate Data Analyst with hands-on experience in SQL, Python, Power BI, Tableau, and Excel.
I love solving business problems with data storytelling, dashboards, and predictive insights.
📊 1+ years of experience in Analytics & BI
🌎 Open to Full Time, Remote & Freelance opportunities
| Project | Description | Tools |
|---|---|---|
| Global Development Insights Dashboard | Built an end-to-end analytics solution using World Bank API data to analyze global economic, health, poverty, trade, and technology indicators. Performed data extraction, cleaning, and transformation in Python and developed an interactive Power BI dashboard to highlight trends, regional comparisons, and key relationships such as health expenditure vs life expectancy. | Python, Pandas, Requests, Power BI, Power Query, Data Visualization, World Bank API |
| Clinical-and-Financial-Analytics-Dashboard | Developed an end-to-end Hospital Analytics System using SQL Server and Power BI, including relational database design, data validation rules, reporting views, and an interactive management dashboard with financial and operational KPIs. | Database: Microsoft SQL Server (SSMS), ETL / Data Cleaning: SQL, Visualization: Power BI Desktop |
| UPI-Transactions-Dashboard | UPI Transactions Data Analysis Dashboard built using SQL, Power BI, Python, and Excel. Provides insights into customer demographics, merchant performance, transaction success rates, and monthly trends. | Python, SQL, Power BI |
| Indian Health Insurance Analysis | Analyzed trends & visualized 2.5x increase in insured individuals over 5 years | Python, Power BI |
| Panic Attack Data Analysis Dashboard | Comprehensive Insights into Panic Attack Severity, Triggers, Symptoms, and Patient Demographics | Snowflake, SQL, Power BI Desktop, Power Query, DAX, Excel & Python |
| Sales Performance & Insights Dashboard | Interactive Power BI dashboard analyzing sales trends, product performance, and regional insights. | Excel, Power BI |
| Integrated Real Estate Solution | Full-cycle data pipeline from collection to deployment | Python, SQL, Power BI |
| Cancer-Severity-Prediction-ML | End-to-end data science project predicting cancer severity using Python, EDA, and Random Forests — focusing on lifestyle and genetic factors. | Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn) · Jupyter Notebook · Git & GitHub · Anaconda · Data Cleaning · EDA · Machine Learning (Random Forest) · Data Visualization |
| Inventory & Supply Chain Management Dashboard | Real-time inventory tracking, sales analytics, low-stock alerts, reorder automation, and supplier management | Python, Streamlit, SQL Server, PyODBC, Pandas, Plotly |
⭐ "Turning data into insights, and insights into decisions."