I'm a passionate Data Analyst who loves turning raw data into actionable business insights. I specialize in end-to-end analytics — from cleaning messy datasets to building interactive dashboards that drive real decisions.
| Category | Tools |
|---|---|
| Languages | Python (Pandas, NumPy, Matplotlib, Seaborn), SQL |
| Visualization | Power BI (DAX), Tableau, Excel |
| Database | SQLite, PostgreSQL |
| Others | Power Query, Google Colab, GitHub |
SQL | Python | Excel | Power BI
- Analyzed IBM HR dataset (1,470 employees, 35 features)
- Built Power BI dashboard with KPI cards & department slicers
- Key Finding: Overtime + Low Income = 3x higher attrition
SQL | Python | Tableau
- Investigated churn patterns in IBM Telco dataset (7,043 customers)
- Key Finding: Month-to-month contracts drive 3x higher churn
SQL | Excel | Power Query
- Built automated ETL pipeline — reduced manual processing by 80%
Power BI | DAX
- Interactive dashboard with KPI cards & trend analysis
Power BI | Power Query
- Analyzed score distributions by gender, lunch type & test prep
Python | Pandas | Matplotlib
- Revealed weekend revenue peaks & tipping pattern insights
- 💼 Data Analyst Intern — Carissa International (Nov 2025 – Jan 2026)
- 🎓 Deloitte Australia — Data Analytics Job Simulation (Forage, 2026)
- 🔗 LinkedIn: linkedin.com/in/supriyashukla-a42864330
- 📧 Email: shuklasupriya072@gmail.com
- 💻 GitHub: github.com/shuklasupriya072-ship-it
⭐ Open to Remote Data Analyst Opportunities!