Data Analyst based in Noida · Currently at Revolut
I build end-to-end analytical projects using SQL, Python, Power BI, and Tableau — with a focus on customer behavior, operational efficiency, and FinTech data.
Languages & querying: Python · SQL (MySQL, PostgreSQL, MS SQL Server) Libraries: Pandas · NumPy · Matplotlib · Seaborn · Scikit-Learn · BeautifulSoup Visualization: Power BI · Tableau · Excel Methods: EDA · Data Cleaning · ETL · Time Series · Regression · A/B Testing · Web Scraping
| Project | Tools | What it answers |
|---|---|---|
| StackOverflow Developer Survey — EDA | Python, Pandas | What skills & salaries define the data profession today? |
| Supermarket Sales Analysis | Python, Matplotlib | Which product lines and branches drive the most revenue? |
| COVID Deaths & Vaccinations Dashboard | SQL, Tableau | How did vaccination rates correlate with mortality across countries? |
| AirBnB Revenue Dashboard | Tableau | Which locations and property types maximise host revenue? |
| Nashville Housing — Data Cleaning | SQL | Standardising and cleaning a messy real-estate dataset end-to-end |
| Zomato Spend Analysis | SQL | Customer ordering patterns and spend behaviour on Zomato |
Certificates are available here.
- LinkedIn: linkedin.com/in/deegpt
- Email: deegupta1565@gmail.com
- Portfolio site: deegpt.github.io