You will get clean, structured data and actionable insights using Python and Pandas
Project details
I will transform your raw dataset into clean, well-structured, and ready-to-analyze data using Python and Pandas.
Whether your data contains missing values, inconsistent formatting, duplicate entries, or requires custom feature engineering, I will ensure high data accuracy and structured output.
What I offer:
Data Cleaning & Formatting (handling missing values, duplicates, correct data types)
Data Transformation & Feature Engineering (filtering, sorting, aggregation)
Exploratory Data Analysis (EDA) & Summary Insights
Delivery in your preferred format (CSV, Excel, JSON, etc.)
I focus on delivering clean code, accurate results, and clear documentation. Let's make your data work for you!
Whether your data contains missing values, inconsistent formatting, duplicate entries, or requires custom feature engineering, I will ensure high data accuracy and structured output.
What I offer:
Data Cleaning & Formatting (handling missing values, duplicates, correct data types)
Data Transformation & Feature Engineering (filtering, sorting, aggregation)
Exploratory Data Analysis (EDA) & Summary Insights
Delivery in your preferred format (CSV, Excel, JSON, etc.)
I focus on delivering clean code, accurate results, and clear documentation. Let's make your data work for you!
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$20
|
Standard
$40
|
Advanced
$80
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
About Sude
Python Developer | Machine Learning & Streamlit Dashboard Specialist
Edirne, Turkey - 10:07 am local time
I help businesses, researchers, and individuals transform raw datasets into clean, actionable insights and interactive web applications. Whether you need data preprocessing, custom predictive modeling, or live analytics dashboards, I deliver clean, well-documented Python code.
What I can do for you:
• Data Cleaning & Preprocessing: Handling missing values, duplicate records, and feature scaling using Pandas & NumPy.
• Machine Learning Models: Predictive modeling and classification tasks (Decision Trees, Random Forest, Scikit-Learn).
• Interactive Web Applications: Building live, responsive analytics dashboards using Streamlit.
• Well-Structured Code: Delivering clean Jupyter Notebooks (.ipynb) and modular Python scripts (.py).
Tech Stack & Tools:
Python | Pandas | NumPy | Scikit-Learn | Streamlit | Matplotlib & Seaborn | Jupyter Notebooks / Google Colab
Feel free to send a message to discuss your data project!
Steps for completing your project
After purchasing the project, send requirements so Sude can start the project.
Delivery time starts when Sude receives requirements from you.
Sude works on your project following the steps below.
Revisions may occur after the delivery date.
Data Assessment & Cleaning
I will inspect the dataset, handle missing values or errors, and apply python scripts to structure the data.