You will get clean, formated, and organized Excel or CSV data professionally
Project details
I will clean, organize, and format your raw data in Microsoft Excel or CSV files to make it accurate, structured, and ready for analysis.
This includes removing duplicates, fixing formatting issues, handling missing values, and organizing datasets for reporting or dashboard use.
This includes removing duplicates, fixing formatting issues, handling missing values, and organizing datasets for reporting or dashboard use.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$15
|
Standard
$35
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $20
Additional Revision
+$10Frequently asked questions
About Riya
Data Analyst | Power BI Dashboard | SQL | Excel Reporting
Thane, India - 4:47 pm local time
I help businesses transform raw data into clear, actionable insights through interactive dashboards and business-focused analysis.
My expertise includes:
• Power BI dashboard development
• SQL data analysis and reporting
• Excel dashboards and automation
• Sales performance analysis
• HR analytics and KPI reporting
• Data cleaning and visualization
I have hands-on experience building dashboards for sales performance tracking, HR attrition analysis, and business KPI monitoring, with a strong focus on identifying trends, highlighting business opportunities, and supporting data-driven decisions.
I focus on delivering dashboards that are:
• Clean and easy to understand
• Insightful and decision-oriented
• Customized to business goals
If you're looking for clear, professional dashboards and reliable reporting support, I’d be happy to help.
Steps for completing your project
After purchasing the project, send requirements so Riya can start the project.
Delivery time starts when Riya receives requirements from you.
Riya works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review
Review the raw dataset, identify errors, duplicates, missing values, and understand the required cleaning tasks.
Data Cleaning
Clean and format the data by removing duplicates, correcting inconsistencies, and organizing the dataset properly.