Data Cleaning/Validation with PythonCiro
I transform messy, inconsistent datasets into clean, validated formats that are ready for analysis or integration. Using Python, Pandas, SQL, and clear documentation, I ensure accuracy, consistency, and transparency at every step. What makes me unique is my async‑first workflow and narrative‑driven approach, giving you reliable, analysis‑ready data without meetings or friction.
What's included
Cleaned Dataset (CSV/Excel)
A structured dataset with duplicates removed, missing values handled, and formats standardized. Delivered in CSV or Excel, ready for immediate use.
Validation Report
A concise summary highlighting data quality checks performed (e.g., consistency, schema validation, anomaly detection). This ensures transparency and trust in the dataset.
Reusable Python Script
A Python script (using Pandas and SQL integration if needed) that automates the cleaning and validation process, allowing you to reuse it for future datasets.
Documentation & Usage Guide
A clear README explaining the cleaning steps, validation logic, and instructions for running or adapting the script. This makes the workflow easy to maintain and extend.
FAQs
I work with CSVs, Excel files, SQL exports, and scraped datasets, handling duplicates, missing values, inconsistent formats, and schema validation.
You’ll get a cleaned dataset in CSV or Excel format, plus a validation report and the reusable Python script.
No meetings are needed. I deliver everything asynchronously with clear documentation, so you can focus on results.
Yes. I highlight anomalies, inconsistencies, and validation checks in the report, ensuring transparency and reliability.
Absolutely. The Python script is yours to keep, and the documentation makes it easy to adapt for new projects.
Example work
Ciro's other services
Starting at$25
Duration1 week
Tags
Microsoft Excel
pandas
Python
seaborn
SQL
Data Analyst
Data Engineer
Data Scientist
Service provided by
Ciro Buenos Aires, Argentina
- 254
- Followers
Data Cleaning/Validation with PythonCiro
Starting at$25
Duration1 week
Tags
Microsoft Excel
pandas
Python
seaborn
SQL
Data Analyst
Data Engineer
Data Scientist
I transform messy, inconsistent datasets into clean, validated formats that are ready for analysis or integration. Using Python, Pandas, SQL, and clear documentation, I ensure accuracy, consistency, and transparency at every step. What makes me unique is my async‑first workflow and narrative‑driven approach, giving you reliable, analysis‑ready data without meetings or friction.
What's included
Cleaned Dataset (CSV/Excel)
A structured dataset with duplicates removed, missing values handled, and formats standardized. Delivered in CSV or Excel, ready for immediate use.
Validation Report
A concise summary highlighting data quality checks performed (e.g., consistency, schema validation, anomaly detection). This ensures transparency and trust in the dataset.
Reusable Python Script
A Python script (using Pandas and SQL integration if needed) that automates the cleaning and validation process, allowing you to reuse it for future datasets.
Documentation & Usage Guide
A clear README explaining the cleaning steps, validation logic, and instructions for running or adapting the script. This makes the workflow easy to maintain and extend.
FAQs
I work with CSVs, Excel files, SQL exports, and scraped datasets, handling duplicates, missing values, inconsistent formats, and schema validation.
You’ll get a cleaned dataset in CSV or Excel format, plus a validation report and the reusable Python script.
No meetings are needed. I deliver everything asynchronously with clear documentation, so you can focus on results.
Yes. I highlight anomalies, inconsistencies, and validation checks in the report, ensuring transparency and reliability.
Absolutely. The Python script is yours to keep, and the documentation makes it easy to adapt for new projects.
Example work
Ciro's other services
$25