You will get a professional Power BI dashboard and test cases using SQL.

You will get a professional Power BI dashboard and test cases using SQL.

Project details
I'm a skilled Power BI developer and data analyst.
Expertise: Proficient in Power BI and data analysis.
Custom Solutions: Tailored to your unique data needs.
User-Friendly Dashboards: Intuitive, actionable insights.
Data Quality: High standards for clean, reliable data.
Timeliness: Meet deadlines, transparent communication.
Cost-Effective: Quality solutions within your budget.
Let's turn your data into informed decisions together.
Expertise: Proficient in Power BI and data analysis.
Custom Solutions: Tailored to your unique data needs.
User-Friendly Dashboards: Intuitive, actionable insights.
Data Quality: High standards for clean, reliable data.
Timeliness: Meet deadlines, transparent communication.
Cost-Effective: Quality solutions within your budget.
Let's turn your data into informed decisions together.
Data Tool
Microsoft Power BI$10
- Delivery Time 1 day
- Number of Revisions Unlimited
- Number of Graphs/Charts 5
- Number of Variations 5
- Data Source Connectivity
- Web Embedding
- Interactive/Animated Visuals
Optional add-ons
You can add these on the next page.
Additional Graph/Chart
+$5
Additional Variation
+$5About Varino
Business Intelligence and Data Specialist (Analysis/Engineering)
Cairo, Egypt - 3:42 pm local time
Tools:
-Power Bi
-Tableau
-Excel
-SQL
-Informatica
-SSIS/SSAS/SSRS
-Alteryx
-Python (NumPy, Pandas, matplotlib, .. etc.)
Additional Advantages:
-I provide the source code freely
-Update you even if the contract has been ended
-Fast Delivery
Steps for completing your project
After purchasing the project, send requirements so Varino can start the project.
Delivery time starts when Varino receives requirements from you.
Varino works on your project following the steps below.
Revisions may occur after the delivery date.
Project Kickoff
Initial Consultation: Discuss client objectives, data sources, and requirements. Agreement: Define project scope, objectives, timelines, and budget.
Data Gathering and Preprocessing
Data Collection: Gather relevant data from various sources. Data Cleaning: Ensure data accuracy and consistency. Data Transformation: Prepare data for analysis and visualization.