You will get a customer churn prediction machine learning model in Python
Project details
You will get an end-to-end Python Machine Learning solution designed to identify churn patterns and boost customer retention. I transform raw data into predictive insights using custom feature engineering, data cleaning, and high-performance algorithms like XGBoost and Random Forest. Beyond technical code, I deliver clear visual reporting and business-focused summaries so you can easily translate findings into strategic decisions. All work includes fully documented Jupyter Notebook source code.
Machine Learning Tools
Keras, MATLAB, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$350
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $300
Additional Revision
+$40
Additional Model Variation
(+ 1 Day)
+$75
Additional Graph/Chart
+$25Frequently asked questions
About Ramez
Data Analyst & ML Specialist | Python, Pandas, Scikit-Learn & Modeling
Alexandria, Egypt - 3:49 am local time
I am a Data Analyst and Machine Learning Specialist who turns unstructured, complex datasets into clear business answers and predictive tools. Using Python and its core data science stack, I help startups, e-commerce brands, and growing businesses clean chaotic data, uncover key performance trends, and build predictive machine learning models that drive smarter decision-making.
Whether you need a one-time exploratory analysis on sales data, an end-to-end customer churn prediction pipeline, or automated data processing scripts to save your team hours of manual work, I deliver clean code and clear, business-ready reports.
🛠️ What I Can Help You With:
Customer Churn & Retention Analytics:
Identify at-risk customers before they leave. I build supervised classification models (Logistic Regression, Random Forest, XGBoost) to score churn risk and highlight top retention triggers.
Exploratory Data Analysis (EDA) & Trend Discovery:
Transform raw CSV, Excel, or JSON files into actionable business narratives. I find patterns in sales, customer behavior, product performance, and operational metrics.
Data Cleaning, Preprocessing & Wrangling:
Fix broken formatting, missing values, duplicates, and inconsistent structures. I turn messy data into organized, analysis-ready datasets.
Predictive Modeling & Forecasting:
Build custom machine learning models for regression, classification, and scoring tasks—complete with feature engineering and performance tuning.
Data Automation & Workflow Optimization:
Write custom Python scripts to automate repetitive data extraction, transformation, and summary reporting tasks so you can focus on strategy.
Executive Visualizations & Reporting:
Create clean, interactive visual reports (using Matplotlib, Seaborn, and Plotly) alongside non-technical executive summaries that explain what the numbers mean for your business.
Steps for completing your project
After purchasing the project, send requirements so Ramez can start the project.
Delivery time starts when Ramez receives requirements from you.
Ramez works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Requirement Alignment
I review your raw dataset, verify data quality, and clarify your business churn definitions and KPI targets to ensure complete alignment.
Data Cleaning & Feature Engineering
I process missing values, resolve inconsistencies, and engineer relevant behavioral features in Python to prepare a robust model input.