You will get clean data formatted properly. Excel conditions can be added.
Project details
You will get from me a faster turn-around then if you were to look somewhere else. I care deeply about data and am passionate about the fact that clean data is required to scale. I communicate clearly and frequently ensuring your needs are met and everything is as you want it.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$60
|
Standard
$210
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 3 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $500About Luciano
Expert Python Scripter | ETL + Analysis | Web Developer |
Mount Airy, United States - 10:18 am local time
Capable of demonstrating expertise in data visualization by transforming survey data into meaningful insights using Tableau. Additionally, I created an automated Python script for data cleaning and exploration, exploring integration solutions with Tableau for enhanced reporting. As a Quality Assurance Intern at Stand Together, I honed my skills in testing data pipelines, identifying software bugs, and improving QA practices. During my short-time here I discovered that the test server had traffic running through the production server... yikes!
I bring a diverse background with previous roles in customer service and operations, where I developed strong communication and problem-solving skills. I am passionate about leveraging my technical abilities to contribute to meaningful projects and make a positive impact.
Steps for completing your project
After purchasing the project, send requirements so Luciano can start the project.
Delivery time starts when Luciano receives requirements from you.
Luciano works on your project following the steps below.
Revisions may occur after the delivery date.
Understanding the Data
I will review the supplied data files to understand their structure and parse them more efficiently.
Extract / Clean the Data
I will clean and format the data in this step as requested. Mainly using Python with pandas and Excel. Potentially some other tools if necessary.