You will get accurate, well-organized data ready for analysis


Project details
This project delivers accurately cleaned, standardized data you can trust. Using Excel, I'll review your data structure, fix formatting inconsistencies, resolve blanks, and flag anything that looks like an error.
Every project includes a short summary of what was changed, so you have a clear record of the work done and can verify nothing was altered incorrectly.
Every project includes a short summary of what was changed, so you have a clear record of the work done and can verify nothing was altered incorrectly.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$20
|
Standard
$35
|
Advanced
$55
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 1 | 2 | 3 |
About Camila
Data Analyst | E-commerce Sales & Marketing Analytics
Colonia del Sacramento, Uruguay - 4:30 pm local time
I can help you:
Turn messy sales or marketing data into clean, reliable reports
Build Excel dashboards to track sales, campaigns, and product performance
Spot trends and patterns that inform pricing, marketing, and business decisions
Translate data into insights anyone on your team can understand and act on
Google Data Analytics and Digital Marketing & E-commerce Certified. I also bring hands-on experience with hospitality and short-term rental data from my background managing Airbnb properties. Detail-oriented, responsive, and focused on delivering work you can actually use. Check out my portfolio below, and message me to discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Camila can start the project.
Delivery time starts when Camila receives requirements from you.
Camila works on your project following the steps below.
Revisions may occur after the delivery date.
Review the Raw Data
I'll go through your file(s) to understand the structure, spot inconsistencies, and identify duplicates, blanks, and formatting issues before making any changes.
Clean & Standardize
I'll remove duplicates, fix formatting (dates, currency, text case), fill or flag blank fields, and apply consistent structure across the dataset.