You will get data forecasting and insightful visualizations


Project details
You will get a comprehensive data analysis service tailored to your business needs. With my expertise in data cleaning, predictive modeling, and visualization, I will turn your raw data into actionable insights. I specialize in providing clear, easy-to-understand reports and visualizations to help you make informed decisions.
Whether you need basic data cleaning, in-depth analysis, or advanced predictive forecasts, I have the tools and experience to deliver high-quality results. My work is timely, accurate, and always aligned with your project goals, ensuring you receive value and clarity from your data.
Whether you need basic data cleaning, in-depth analysis, or advanced predictive forecasts, I have the tools and experience to deliver high-quality results. My work is timely, accurate, and always aligned with your project goals, ensuring you receive value and clarity from your data.
Machine Learning Tools
Microsoft Excel, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$75
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - | - |
Frequently asked questions
About Amine
Data Analyst
Rabat, Morocco - 1:56 pm local time
Steps for completing your project
After purchasing the project, send requirements so Amine can start the project.
Delivery time starts when Amine receives requirements from you.
Amine works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection & Understanding
I will review the dataset and understand its structure, identifying any initial issues such as missing values or duplicates.
Data Cleaning & Preparation
I will clean the dataset, addressing issues like missing values, duplicates, and formatting inconsistencies to ensure the data is ready for analysis.