π― Aspiring Data Analyst | SQL β’ Power BI β’ Python β’ Power BI β’ Excel
Welcome to my GitHub! I'm passionate about turning raw data into meaningful insights that solve real business problems. With hands-on experience in end-to-end data projects, I specialize in storytelling through data and crafting actionable dashboards for decision-makers.
- π‘ Enthusiast of data-driven decision making
- π§° Skilled in SQL, Power BI, Python, Excel, and Power BI
- π Love analyzing trends, customer behavior, and business performance
- π Eager to grow into a full-time Data Analyst role
Tools: SQL, Power BI
Description: Built an interactive dashboard to analyze churn patterns using SQL-cleaned customer data. Used DAX to calculate churn rate, tenure, and retention. Identified high-risk segments and churn drivers like contract type and billing frequency.
π [View Project Repository]
Tools: Python, SQL, Excel, Power BI
Description: Analyzed retail sales data to uncover revenue trends, seasonality, and underperforming regions. Used Python for EDA, SQL for metric aggregation, and Tableau for visual storytelling.
π View Project Repository (Replace with actual repo link)
Tools: Power BI, Power Query, DAX, Excel
Description: Performed fraud detection analysis using simulated credit card data. Built KPIs to detect fraud patterns by region, time, and transaction type. Delivered insights on high-risk behaviors and areas.
π View Project Repository (Replace with actual repo link)
- π§ Email: singh.vandana1409@gmail.com
- πΌ LinkedIn