Welcome to my master repository. This collection showcases my ability to transform raw, complex data into actionable business insights using SQL, Power BI, Python, and Excel.
| Category | Tools |
|---|---|
| Languages | Python (Pandas, NumPy, Scikit-learn), SQL (MySQL, PostgreSQL) |
| Visualization | Power BI, Tableau, Matplotlib, Seaborn |
| Data Handling | Excel (VLOOKUP, Pivot Tables, Power Query), ETL Processes |
| Soft Skills | Statistical Modeling, Customer Segmentation, Business Strategy |
- Goal: Analyze subscriber behavior to identify churn drivers.
- Insight: Identified specific content genres that increased long-term retention by 15%.
- Goal: Evaluate sales performance across regions and product categories.
- Insight: Uncovered seasonal trends that allow for 10% more efficient inventory management.
- Goal: Streamline patient flow and resource allocation.
- Insight: Optimized staff scheduling based on peak admission hours.
| Folder | Domain | Tools Used |
|---|---|---|
| Blinkit | Quick Commerce | Power BI, Excel |
| Uber Rides Analysis | Transportation | Python, Seaborn |
| Smartphone Sales | E-commerce | SQL, Python |
| HR Analytics | Employee Performance | Power BI |
| Revenue Segmentation | Marketing | Python (RFM Analysis) |
A high-level view of customer demographics, contract types, and churn probability.
- LinkedIn: Pritam Nagar
- Portfolio: My Personal Website
- Email: pritamnagar2211@gmail.com