Data Analyst | SQL β’ Power BI β’ Python
Tools: SQL (MySQL), Power BI
What I did:
- Analyzed 9,994 sales records
- Built 4-visual dashboard (bar, line, map, KPI)
- Added dynamic date slicer for trend filtering
π GitHub Repo
Tools: SQL (MySQL), Power BI
What I did:
- Queried top 10 most affected states using GROUP BY
- Built interactive line chart with state-level slicer
π GitHub Repo
Tools: Power BI, Power Query (M) What I did:
- Cleaned and transformed HR dataset of 311 employees (fixed date parsing, standardized categorical fields)
- Built 3-page interactive dashboard: Overview, Attrition, and Employee Details
- Created DAX measures for Attrition Rate, Total Employees, and Average Salary π GitHub Repo
- SQL: MySQL, data extraction, EDA
- Power BI: DAX, Power Query, dashboards
- Python: Pandas, Jupyter Notebook
- Excel: Pivot Tables, VLOOKUP



