Data Analyst & Student passionate about turning complex data into actionable insights. I build end-to-end analytical projects with clean code, meaningful visualizations, and business-focused storytelling.
- 🔍 Curious by nature, detail-oriented by practice
- ☕ Powered by curiosity and coffee
- 📈 Focused on EDA, statistics, forecasting & customer insights
- 🚀 Actively building real-world projects and sharing them here
| Category | Tools |
|---|---|
| Languages |  |
| Data Analysis |   |
| Visualization |   |
| ML/Stats |   |
| Tools |    |
| Project | Description | Tech |
|---|---|---|
| Retail Sales Forecasting & Demand Analysis | End-to-end forecasting with feature engineering, ARIMA-style rolling forecasts, ABC/XYZ & profitability analysis | Python Pandas scikit-learn statsmodels |
| E-Commerce Sales Analysis | Time-series EDA, category performance, discount impact & RFM-lite analysis | Python Pandas Matplotlib Seaborn |
| Customer Segmentation Analysis | K-Means clustering with elbow method & segment profiling | Python Pandas scikit-learn Seaborn |
| Sales Data Analysis | Clean beginner-friendly EDA with insights & visuals | Python Pandas Matplotlib Seaborn |
| Student Performance Analysis | Factors affecting scores, correlations & actionable insights | Python Pandas Matplotlib Seaborn |
| Weather Trends Analysis | Time-series trends, seasonality & correlations | Python Pandas Matplotlib Seaborn |
- Advanced Time Series & Forecasting
- SQL for Data Analysis
- Data Storytelling & Business Analytics
Always open to collaborating on data projects, learning opportunities, or internships!
"Turning data into decisions, one project at a time."