You will get Clean & Organized Dataset from your Raw Data
Project details
I’ll turn your messy, unstructured data into a clean, analysis-ready dataset using Python’s Pandas and NumPy libraries. I’ll remove duplicates, handle missing values, standardize formats, and ensure consistent data types—delivering reliable data for reporting and decision-making.
🔧 Technical Scope Tools: Python (Pandas/NumPy), Jupyter Notebook (optional) Tasks: Remove/flag duplicates, fill/drop missing values, convert types (e.g. strings to dates), filter outliers/unwanted characters, merge datasets if needed.
📦 Deliverables
Cleaned dataset (CSV, Excel, etc.)
Python cleaning script with comments
✨ Extras Optional data quality report, basic visualizations (e.g. before/after charts), light documentation, or a short consultation/training session to help you reuse the script.
Perfect for businesses or individuals needing fast, reliable data cleanup.
🔧 Technical Scope Tools: Python (Pandas/NumPy), Jupyter Notebook (optional) Tasks: Remove/flag duplicates, fill/drop missing values, convert types (e.g. strings to dates), filter outliers/unwanted characters, merge datasets if needed.
📦 Deliverables
Cleaned dataset (CSV, Excel, etc.)
Python cleaning script with comments
✨ Extras Optional data quality report, basic visualizations (e.g. before/after charts), light documentation, or a short consultation/training session to help you reuse the script.
Perfect for businesses or individuals needing fast, reliable data cleanup.
Data Tool
PythonWhat's included $20
These options are included with the project scope.
$20
- Delivery Time 3 days
- Number of Revisions 2
- Number of Pages Mined/Scraped 5
- Number of Sources Mined/Scraped 5
Optional add-ons
You can add these on the next page.
Fast 2 Days Delivery
+$25
Additional Revision
+$2
Additional Page Mined/Scraped
(+ 1 Day)
+$1About Pedro
Software Engineer | Data Analyst | Python | SQL | AWS | Big Data
Sao Paulo, Brazil - 1:30 am local time
I have a proven track record in Data Analysis and Data Analytics, providing actionable insights that help businesses make informed decisions. My proficiency in Data Engineering and Data Extraction ensures that data is accurately collected, transformed, and loaded into data warehouses or other storage solutions. Additionally, I am well-versed in Data Analytics & Visualization Software, allowing me to create compelling visualizations that effectively communicate data findings.
With hands-on experience in cloud computing, specifically AWS Glue, I can seamlessly integrate and manage cloud-based data services. I am committed to delivering high-quality data analysis consultations, helping businesses harness the power of their data. Regular communication and a thorough understanding of project requirements are my priorities, ensuring that I meet and exceed client expectations.
Steps for completing your project
After purchasing the project, send requirements so Pedro can start the project.
Delivery time starts when Pedro receives requirements from you.
Pedro works on your project following the steps below.
Revisions may occur after the delivery date.
Data Cleaning
Data cleaning steps like removing or flagging duplicates, filling or dropping missing values, converting data types (e.g. strings to dates), filtering out outliers or unwanted characters, and merging datasets if multiple sources are provided.