You will get clean, pre-process, and prepare your data for analysis or machine learning


Project details
I will clean, preprocess, and analyze your dataset to extract meaningful insights and prepare it for machine learning or reporting.
Using Python (Pandas, NumPy, Matplotlib, Seaborn), I’ll handle missing data, outliers, duplicates, and feature encoding — then visualize key trends to help you understand your data better.
You’ll receive:
• A clean and well-structured dataset ready for modeling
• Visual reports highlighting trends and correlations
• Optional Jupyter Notebook / Python code for full transparency
Using Python (Pandas, NumPy, Matplotlib, Seaborn), I’ll handle missing data, outliers, duplicates, and feature encoding — then visualize key trends to help you understand your data better.
You’ll receive:
• A clean and well-structured dataset ready for modeling
• Visual reports highlighting trends and correlations
• Optional Jupyter Notebook / Python code for full transparency
Machine Learning Tools
NumPy, pandas, Python, scikit-learnWhat's included
| Service Tiers |
Starter
$15
|
Standard
$20
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
About Mohamed
AI/ML Engineer | Data Science & Automation
Giza, Egypt - 7:54 pm local time
I enjoy working on projects where I can turn raw data into actionable insights and scalable AI systems. My strengths are in clean, well-documented code, model optimization, and clear communication with clients. Whether you need a quick proof-of-concept or a production-ready ML solution, I can help bring your ideas to life
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Data Understanding & Cleaning
I will inspect the dataset, handle missing values, remove duplicates, and correct data inconsistencies.
Data Transformation & Feature Engineering
I will encode categorical data, normalize numerical features, and create new relevant features if needed.

















