You will get Data cleansing and Format conversion (Python/Pandas)
Project details
I offer a quick and precise data cleansing and file transformation service using the powerful Pandas library in Python. This service is ideal for large datasets that need to be prepared for analysis.
Advantages of Automation:
• Superior Speed: The code processes thousands of records within minutes.
• High Accuracy: Precise removal of duplicates and errors that simple software often misses.
• Technical Expertise: You hire a professional with experience in data analysis and data science.
• Ready-to-Use Results: I deliver the cleaned file in your preferred format (CSV, Excel).
Advantages of Automation:
• Superior Speed: The code processes thousands of records within minutes.
• High Accuracy: Precise removal of duplicates and errors that simple software often misses.
• Technical Expertise: You hire a professional with experience in data analysis and data science.
• Ready-to-Use Results: I deliver the cleaned file in your preferred format (CSV, Excel).
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$5
|
Standard
$10
|
Advanced
$15
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $15
Additional Revision
+$5About Maria Belen
Data entry & Virtual Assistant
Buenos Aires, Argentina - 2:06 am local time
I specialize in efficient data handling using microsoft Excel am actively developing skills in python and jupyter lab for initial data cleaning and analysis.
My primary focus areas are: Administrative Assistance, telehealth support and data organization/Entry.
I comunicate effectively in spanish (native) and English (B1/B2)
Steps for completing your project
After purchasing the project, send requirements so Maria Belen can start the project.
Delivery time starts when Maria Belen receives requirements from you.
Maria Belen works on your project following the steps below.
Revisions may occur after the delivery date.
Analysis and Scripting
I review the dataset and develop the Python/Pandas script for cleaning and standardizing formats
Data transformation
I remove duplicates, correct format errors, and prepare the final output.