You will get an enriched dataset ready for reports and analysis
Project details
I will clean, transform, and enrich your existing data so it becomes easier to analyze, report, summarize, or prepare for dashboards.
This project is ideal if you have Excel, CSV, Google Sheets exports, database exports, or structured files that need calculated fields, KPIs, summaries, categories, flags, standardized columns, or report-ready outputs.
I can help you turn messy or inconsistent data into a clean and structured dataset using Python, Excel, CSV workflows, and SQL-ready logic when needed.
This project focuses on client-provided data. It does not include web scraping, complex API integrations, server administration, cloud deployment, advanced machine learning models, or full dashboard development.
You will receive a cleaner, better-structured dataset and, depending on the package, reusable Python or SQL logic and short documentation notes explaining the transformation process.
This project is ideal if you have Excel, CSV, Google Sheets exports, database exports, or structured files that need calculated fields, KPIs, summaries, categories, flags, standardized columns, or report-ready outputs.
I can help you turn messy or inconsistent data into a clean and structured dataset using Python, Excel, CSV workflows, and SQL-ready logic when needed.
This project focuses on client-provided data. It does not include web scraping, complex API integrations, server administration, cloud deployment, advanced machine learning models, or full dashboard development.
You will receive a cleaner, better-structured dataset and, depending on the package, reusable Python or SQL logic and short documentation notes explaining the transformation process.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$65
|
Standard
$130
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 2 |
Number of Pages Mined/Scraped | 1 | 3 | 5 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20
Additional Page Mined/Scraped
(+ 1 Day)
+$20
Additional Source Mined/Scraped
(+ 2 Days)
+$40Frequently asked questions
About Pedro Danilo
Data Analyst | Python, SQL, Power BI | Data Cleaning & Automation
Plato, Colombia - 2:45 am local time
I help organizations, consultants, researchers, NGOs, small businesses, and academic teams transform messy or unstructured data into clean datasets, reports, dashboards, databases, and actionable insights.
I can help you with:
• Data cleaning and transformation in Excel, CSV, and databases.
• SQL queries and reports in PostgreSQL and MySQL.
• Python scripts for automation and ETL workflows.
• Power BI dashboards and data visualization.
• Data extraction, data mining, and analytical reporting.
• Geospatial data analysis with PostGIS and GeoPandas.
• Technical reports based on structured data.
My background combines more than 25 years of experience in public administration, institutional consulting, project management, and data-driven decision-making with technical skills in Python, SQL, PostgreSQL, PostGIS, GeoPandas, Power BI, pandas, and machine learning.
One of my key projects involved designing a PostgreSQL/PostGIS data repository with more than 128 million socioeconomic and violence-related records from Colombia, including Python ETL processes, source traceability, and municipal geolocation.
I work remotely by project, with clear scope, defined deliverables, structured communication, and practical results.
Steps for completing your project
After purchasing the project, send requirements so Pedro Danilo can start the project.
Delivery time starts when Pedro Danilo receives requirements from you.
Pedro Danilo works on your project following the steps below.
Revisions may occur after the delivery date.
Review requirements
I review your dataset, expected output, business rules, required formats, and any examples or restrictions you provide.
Inspect the data
I examine the file structure, columns, formats, missing values, duplicates, inconsistencies, and transformation needs.