You will get Automated Data Entry: Clean Raw Data & Create Reports
Project details
Get a fully automated data-entry solution that cleans, organizes and transforms your raw files (CSV, Excel, etc.) into ready-to-use spreadsheets and insightful reports. I combine Python scripting, Excel automation and data visualization to remove duplicates, fix formatting, standardize columns and generate complex charts and tables that clearly show the before-and-after of your data. With my background in data analysis and process automation, I'll deliver accurate, reproducible results on time.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$35
|
Advanced
$40
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 3 | 4 | 6 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $20
Additional Revision
+$2About Justin
Data Entry Clerk
Independence, United States - 1:11 pm local time
I help businesses turn messy data into clean, organised and automated workflows so they can make decisions faster and avoid costly errors. Whether you have thousands of lines of raw CSVs or repetitive Excel tasks, I’ll create reliable scripts and processes that save you hours each week.
Services I offer
Data entry & cleaning: Import data from CSV/Excel, remove duplicates, fix formatting and validate accuracy.
Automation with Python & Excel: Build scripts or macros to automate repetitive tasks (e.g. monthly imports, report generation, data consolidation).
File conversion: Convert between CSV, Excel, JSON and other structured formats quickly and accurately.
Data integration: Move data between spreadsheets, databases (SQL) and other systems for seamless reporting.
Why clients hire me
I prioritise accuracy and reliability – my workflows catch errors before they become headaches.
I communicate clearly and meet deadlines; you’ll always know the status of your project.
I’m continuously learning and using the best tools to keep your data organised. A complete profile builds client trust
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, and I apply that same thoroughness to every project I take on.
Ready to get started?
Share a sample of your data challenge, and I’ll suggest a quick solution. Let’s automate your data and free up your time.
Steps for completing your project
After purchasing the project, send requirements so Justin can start the project.
Delivery time starts when Justin receives requirements from you.
Justin works on your project following the steps below.
Revisions may occur after the delivery date.
Data Cleaning & Transformation
Analyze your raw dataset, build a custom Python/Excel script to clean and standardize the data, remove duplicates, fix formatting and structure the data for reporting.
Automation & Reporting
Automate the cleaned workflow and generate complex charts and tables to illustrate the before-and-after data transformation. Deliver final spreadsheets and reports.