You will get a clean, structured, and reliable dataset ready for analysis.
Project details
I focus on data quality, not just data cleaning.
My approach is based on structured validation and problem detection, ensuring your dataset is not only clean but also reliable for analysis and reporting.
With a background in Electrical Engineering, I bring a strong analytical and systems-oriented mindset, allowing me to identify issues that are often overlooked and deliver consistent, high-quality results.
My approach is based on structured validation and problem detection, ensuring your dataset is not only clean but also reliable for analysis and reporting.
With a background in Electrical Engineering, I bring a strong analytical and systems-oriented mindset, allowing me to identify issues that are often overlooked and deliver consistent, high-quality results.
Data Tool
pandasWhat's included $15
These options are included with the project scope.
$15
- Delivery Time 2 days
- Number of Revisions 1
- Number of Pages Mined/Scraped 1
- Number of Sources Mined/Scraped 1
About Alberto
Data Analyst | PostgreSQL, Power BI & Data Quality Automation
Santiago, Chile - 9:05 am local time
Many teams struggle with inconsistent data, missing values, and reporting errors. These issues lead to incorrect insights and poor decisions. My focus is to detect, clean, and validate data so it becomes a reliable asset.
What I can help you with:
- Data cleaning and preprocessing (SQL & Python).
- Data validation and quality checks.
- Identifying inconsistencies and data issues.
- Query optimization in PostgreSQL.
- Building Power BI dashboards based on clean data.
I recently developed a data quality validation framework using Python, designed to apply multiple rules to datasets and automatically detect errors and inconsistencies.
I come from an Electrical Engineering background, which strengthens my approach to problem-solving, logical thinking, and structured system design.
Tools I work with:
- PostgreSQL / SQL
- Python (Pandas)
- Power BI
- Excel
If you need accurate, structured, and reliable data, I can help.
Let’s discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Alberto can start the project.
Delivery time starts when Alberto receives requirements from you.
Alberto works on your project following the steps below.
Revisions may occur after the delivery date.
Data review
I analyze the dataset to understand its structure and identify potential data quality issues.
Data cleaning and validation
I clean the data by handling missing values, removing duplicates, and validating consistency using SQL or Python.