You will get clean data analysis and insights from your CSV or Excel file
Project details
You will get clean data analysis and clear insights from your CSV or Excel file.
I will help you clean, organize, and analyze your dataset using Python, Pandas, Matplotlib, and Seaborn. This project can include data cleaning, missing value handling, summary statistics, charts, and key findings.
This service is suitable for sales data, customer data, product data, business reports, survey data, or other structured datasets.
My goal is to help you turn messy raw data into a clean and understandable report that supports better business decisions.
I will help you clean, organize, and analyze your dataset using Python, Pandas, Matplotlib, and Seaborn. This project can include data cleaning, missing value handling, summary statistics, charts, and key findings.
This service is suitable for sales data, customer data, product data, business reports, survey data, or other structured datasets.
My goal is to help you turn messy raw data into a clean and understandable report that supports better business decisions.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 2 | 5 | 8 |
Number of Sources Mined/Scraped | 1 | 2 | 1 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Graph/Chart
+$10
Additional Variatio
+$15Frequently asked questions
About Tuan Anh
AI Visual Content Creator | AI Image & Video Prompt Engineer
Ho Chi Minh City, Vietnam - 1:18 pm local time
I help clients turn raw data into clear insights, visual reports, and simple predictive models. I can work with CSV or Excel data, clean and organize datasets, create charts, analyze business performance, and build beginner-to-intermediate machine learning models using Python.
My main skills include:
* Python data analysis
* Pandas and NumPy
* Data cleaning and preprocessing
* Exploratory data analysis
* Data visualization with Matplotlib and Seaborn
* Sales dashboard reports
* Machine learning with scikit-learn
* Classification and regression models
* Feature engineering
* Model evaluation and improvement
I have built practical portfolio projects including sales data analysis, sales dashboard visualization, Titanic survival prediction, Titanic model improvement, house price regression, and house price model improvement using pipelines, cross-validation, XGBoost, and LightGBM.
I focus on writing clean, well-structured, and easy-to-understand Jupyter Notebooks so clients can clearly see the workflow, results, and recommendations.
If you need help cleaning your data, analyzing business performance, creating visual reports, or building a simple machine learning model, I would be happy to help.
Steps for completing your project
After purchasing the project, send requirements so Tuan Anh can start the project.
Delivery time starts when Tuan Anh receives requirements from you.
Tuan Anh works on your project following the steps below.
Revisions may occur after the delivery date.
Review data and requirements
I will review your dataset, columns, and analysis goals to understand what you need.
Clean and prepare the data
I will clean the data, organize columns, handle basic missing values, and prepare it for analysis.