You will get I will create accurate inventory and stock reports in Excel
Project details
I will clean, format, and organize your Excel or CSV datasets to make them accurate, consistent, and easy to use. I can remove duplicates, fix missing values, and ensure all columns follow your specifications.
With attention to detail and a focus on quality, I provide polished, ready-to-use datasets for analysis, reporting, or business decisions. My goal is to save you time and deliver professional results. I am committed to clear communication, timely delivery, and meeting your requirements fully, even as a beginner freelancer eager to build a strong reputation.
With attention to detail and a focus on quality, I provide polished, ready-to-use datasets for analysis, reporting, or business decisions. My goal is to save you time and deliver professional results. I am committed to clear communication, timely delivery, and meeting your requirements fully, even as a beginner freelancer eager to build a strong reputation.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$10
|
Standard
$25
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages Mined/Scraped | 0 | 0 | 0 |
Number of Sources Mined/Scraped | 3 | 4 | 8 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$5
Additional Page Mined/Scraped
(+ 2 Days)
+$5About Maryudi
I am an experienced Production and Warehouse Administrator with more
Boyolali, Indonesia - 11:53 am local time
I am skilled in data entry, stock control, supplier coordination, and preparing reports using Microsoft Excel.
I am detail-oriented, organized, and reliable. I am ready to support your business with accurate and efficient administrative work.
Steps for completing your project
After purchasing the project, send requirements so Maryudi can start the project.
Delivery time starts when Maryudi receives requirements from you.
Maryudi works on your project following the steps below.
Revisions may occur after the delivery date.
Review the dataset
Look over the dataset to understand its structure, identify columns, duplicates, and missing values before cleaning.