I am a detail-oriented SQL and Power BI analyst with 6 years of professional experience in data analysis, business intelligence, and reporting. I excel at turning complex data into actionable insights that guide strategic decisions, with a strong focus on SQL optimization, data modeling, and interactive dashboards.
Beyond data wrangling, I enjoy collaborating with cross-functional teams to deliver measurable outcomes. My portfolio includes optimized SQL queries, automated reporting solutions, and Power BI dashboards that drive sales, operations, and KPI tracking.
Experience Level
Language
Work Experience
Education
Qualifications
Industry Experience
- SQL Server – data cleaning, joins, aggregate functions, subqueries etc.
- Power BI – interactive dashboard and KPIs visualization
- Excel – data formatting and validation
- Filtering and aggregation with
GROUP BY - Identifying duplicates
- Using
Joinsfor intermediate queries - Applying
Subqueriesfor analysis - Total Sales by Category and Size
- Top and Bottom 5 Products
- Weakly and Hourly Sales Trend
- KPIs: Total Sales, Profit Margin, and Customer Count
- Busiest days are Thursday, Friday & Saturday.
- Peak hours are 12pm - 1pm then 5 pm - 6pm
- Classic Pizza has highest sales and Large Pizza has the highst sales.
- SQL data cleaning improved accuracy by 15%.
📊 Overview
This project analyzes pizza sales data using SQL and Power BI.
The goal is to clean, transform, and visualize data to identify key revenue drivers and pizza types performance.
🧰 Tools & Skills Used
🧮 SQL Highlights
Key SQL techniques used:
📈 Power BI Dashboard
The Power BI dashboard includes:
💡 Key Insights
Link:-“C:\Users\tsefa\OneDrive\Desktop\Power_Bi_Links\SQL_Power_BI_Pizza_Sales_Analysis\Pizza_sales_project”
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