You will get clean, organized, and analysis-ready Excel or CSV data
Project details
I combine hands-on data analysis experience with a genuine passion for clean, reliable data. Using Python (Pandas, NumPy) and Excel, I go beyond simple fixes to actually understand your dataset's context, catching inconsistencies a generic script would miss. I communicate clearly throughout the project, explain what was changed and why, and deliver files that are ready to plug straight into your reports or analysis. My background includes real-world projects in e-commerce and marketing analytics, so I know how messy data affects business decisions and treat every file with that level of care.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$35
|
Standard
$100
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages Mined/Scraped | 1 | 3 | 10 |
Number of Sources Mined/Scraped | 1 | 2 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $30
Additional Revision
+$15Frequently asked questions
About Nicolas
Data Analyst | BI | Python | SQL
Sao Paulo, Brazil - 12:42 am local time
My expertise includes Python, SQL, PostgreSQL, and modern data visualization tools to analyze complex datasets, automate reporting, and support strategic decision-making.
I have developed end-to-end analytics solutions, including marketing performance dashboards, automated exploratory data analysis (EDA) applications, and business intelligence projects that uncover growth opportunities, optimize processes, and improve operational efficiency.
What I can help you with
• Data Cleaning & Transformation (Python / Pandas)
• SQL Queries & Database Analysis
• Interactive Dashboards (Streamlit / Plotly)
• Exploratory Data Analysis (EDA)
• Marketing & Business Analytics
• KPI Development & Performance Reporting
• Business Intelligence Solutions
• Data Visualization & Storytelling
My approach
I don't just build dashboards—I help answer critical business questions such as:
Which metrics matter most?
Where are the biggest growth opportunities?
What is driving business performance?
Which decisions should be supported by data?
Every project is built with a focus on clear communication, reliable analysis, and practical business value.
Whether you need to clean messy datasets, automate analysis, build interactive dashboards, or generate executive-ready reports, I can help transform your data into confident business decisions.
Let's build data solutions that drive better results.
Steps for completing your project
After purchasing the project, send requirements so Nicolas can start the project.
Delivery time starts when Nicolas receives requirements from you.
Nicolas works on your project following the steps below.
Revisions may occur after the delivery date.
1. Review the raw data file
Inspect the file(s) sent by the client, mapping missing values, duplicates, wrong data types, and inconsistent formats.
2. Clean and standardize the data
Treat null values, remove duplicates, fix data types, and standardize text formatting using Python/Pandas or Excel.